From 7fa0e641fe890d0a7867fc3ec2cca56c7860e948 Mon Sep 17 00:00:00 2001 From: fhchl Date: Fri, 2 Sep 2022 15:00:38 +0200 Subject: [PATCH] initial commit --- .gitignore | 2 + Documentation/README.md | 4 + Documentation/pics/DSPbutton.png | Bin 0 -> 5625 bytes Documentation/pics/MAXpatch.png | Bin 0 -> 105501 bytes Documentation/pics/arm.jpg | Bin 0 -> 356905 bytes Documentation/pics/biampChan8.png | Bin 0 -> 15701 bytes Documentation/pics/biampClick.png | Bin 0 -> 11702 bytes Documentation/pics/cables.jpg | Bin 0 -> 582816 bytes Documentation/pics/hierarchy.png | Bin 0 -> 11495 bytes Documentation/pics/hirarchy.png | Bin 0 -> 19710 bytes .../pics/inspector of Scripts object.png | Bin 0 -> 91377 bytes Documentation/pics/play.png | Bin 0 -> 2898 bytes Documentation/pics/robot_eyes.png | Bin 0 -> 6479 bytes Documentation/pics/room_setup.png | Bin 0 -> 35964 bytes Documentation/userguide.md | 801 ++++ Documentation/userguide.pdf | Bin 0 -> 1468097 bytes LICENSE | 19 + Lora 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b/LICENSE new file mode 100644 index 0000000..eb2b638 --- /dev/null +++ b/LICENSE @@ -0,0 +1,19 @@ +Copyright (c) 2022 Franz M. Heuchel, Technical University of Denmark + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/Lora filters/odeon_to_lora_filters.py b/Lora filters/odeon_to_lora_filters.py new file mode 100644 index 0000000..154cda0 --- /dev/null +++ b/Lora filters/odeon_to_lora_filters.py @@ -0,0 +1,37 @@ +"""Computes LORA filters for each room in `Ownaura/Odeon rooms`""" + +import os +from pathlib import Path +from tqdm import tqdm + +# quote escaping +def tostr(path): + return f'"{str(path)}"' +def tostr2(path): + return f"'{str(path)}'" + + +OWNAURA_PATH = Path("..").resolve() # use absolute paths +ROOMS_PATH = OWNAURA_PATH / 'Odeon rooms' + +# all folders in ROOMS_PATH that have a AVIL implementation files subfolder +folders = [x for x in ROOMS_PATH.iterdir() if x.is_dir() and (x / 'AVIL implementation files').is_dir()] + +ignore_direct = 1 # remove the direct sound +trim = 1 # Trim the length of responses that contain only zeros +debug = 0 + +for room in tqdm(folders): + print(room) + # move early relfections by this amount of milliseconds if not Calibration room + move_ER = 22 if room.stem != "Calibration Room" else 0 + + name = room.stem + implementation_folder = room / 'AVIL implementation files' + implementation_file_stem = str(next(implementation_folder.glob("*EarlyReflections.Txt")).name).replace("EarlyReflections.Txt","") + outfile = Path.cwd() / (name + '.wav') + os.system(" ".join(( + 'matlab', + f'-sd {tostr(OWNAURA_PATH / "libownaura" / "matlab")}', + f'-batch "compute_avil_ir_from_odeon_exports({tostr2(implementation_folder)}, {tostr2(implementation_file_stem)}, {tostr2(outfile)}, {ignore_direct}, {move_ER}, {debug}, {trim})"' + ))) diff --git a/MAX/compare multi and single core convolution.maxpat b/MAX/compare multi and single core convolution.maxpat new file mode 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VR Unity Project is "backup"? + +Ownaura +======= + +This repository provides the implementation of an own-voice auralization system implememented at DTU's audio-visual immersion lab as presented at ICA2022_. + +The Python_ scripts, MAX_ patches and Unity_ project have been tested on Windows only. + +Paper: + Find it `here `_. + +Large files: + Download the VR Unity project, Odeon simulation files and actually used convolutional filters from the `release page `_. + +License: + MIT -- see the file ``LICENSE`` for details. + +.. _Python: https://www.python.org/ +.. _MAX: https://cycling74.com/products/max-features +.. _ICA2022: https://ica2022korea.org +.. _Unity: https://unity.com/ + + +Project overview +---------------- + +Repo is structured as follows:: + + . + ├── Documentation # [building the userguide] + ├── libownaura # [python main scripts] + ├── Lora filters # [store Lora output here] + ├── MAX # [Max patches] + ├── Room acoustic parameter measurement # [scripts for measuring effective acoustic parameters] + ... + +Getting started +--------------- + +Create a virtual environment with conda_ and activate it:: + + conda env create -f environment.yml + conda activate ownaura + +.. _conda: https://conda.io/projects/conda/en/latest/index.html + +Download the large files from release page:: + + python download_files.py + +Now read the `userguide `_. Enjoy! + +Citation +-------- + +If you found this codebase useful in your research, please cite:: + + @inproceedings{wistbackaVocalComfort2022, + author = "Wistbacka Oehlund, Greta and Heuchel, Franz M. and LYBERG AAHLANDER, Viveka and MAARTENSSON, Johan and SAHLEN, Birgitta and Brunskog, Jonas", + title = "Vocal comfort in simulated room acoustic environments – experimental set-up and protocol development", + booktitle = "Proceedings of the 24th International Congress on Acoustics", + year = "2022", + pages = "1-11", + } + + + + + + diff --git a/Room acoustic parameter measurement/README.md b/Room acoustic parameter measurement/README.md new file mode 100644 index 0000000..f4e9f9d --- /dev/null +++ b/Room acoustic parameter measurement/README.md @@ -0,0 +1,42 @@ +# System validation + +For setup, do as in `Setup AVIL` in `Ownaura/README.md`. Additionally: + +- place Head-and-torso-simulator (HATS) on seat + - correct seat height such that head is in center + - correct distance of measurement microphone to avil center to 1m + - place headset on HATS +- connect XLR OUT 1 -> amplifier -> HATS mouth loudspeaker + +For calibration, + +- start noise generator with pink noise `MAX/noise_generator.maxpat` +- check levels in headset and measurement mic with `MAX/monitor_levels.maxpat` +- record 60s of noise using the patch `MAX/record_all_mics.maxpat` + - save as `data/hats_right_measmic_headset_whitenoise (calibration_rec).aif` + +To compute the calibration filters, run + + cd Ownaura/Validation + python -m libownaura.compute_calibration_filter "data\hats_right_measmic_headset_whitenoise (calibration_rec).aif" -o processed\calibration_filter --debug + +To build the calibrated LORA filters, run + + python compute_calibrated_room_filters.py + +To measure with HATS, + +- connect HATS microphones to + + LEMO 1 -> NEXUS 1 -> input DSP #5 and + + LEMO 2 -> NEXUS 2 -> input DSP #7 +- check that amplifier gain in NEXUS is 1 V/Pa for both channels + +For sweep measurements for TF estimation from mouth to ears, + +- start convolver patch at `MAX/convolver.maxpatch` +- load a calibrated filter from `processed/calibrated lora filters` +- play and record sweeps with `MAX/sweep_measurement.maxpat`. + +To analyze all recordings and compute room gain, voice support and reverberation time, run + + python compute_room_acoustic_parameters.py \ No newline at end of file diff --git a/Room acoustic parameter measurement/compute_room_acoustic_parameters.py b/Room acoustic parameter measurement/compute_room_acoustic_parameters.py new file mode 100644 index 0000000..1f13a86 --- /dev/null +++ b/Room acoustic parameter measurement/compute_room_acoustic_parameters.py @@ -0,0 +1,228 @@ +# %% +import csv +from itertools import cycle + +import matplotlib.pyplot as plt +import numpy as np +import soundfile as sf +from tqdm import tqdm +from response import Response +from tabulate import tabulate +from acoustics import room +from acoustics.bands import (octave, octave_high, octave_low, + third, third_high, third_low) +from acoustics.signal import bandpass +from scipy import stats + +from libownaura.measure_avil_impulse_responses import transfer_function + +SR = 48000 # samplerate + +print('Change the DEBUG variable to `True` to get some plots.') +DEBUG = False # toggle debug plotting + +def RT_impulse(fs, raw_signal, bands, init, end, ax=None): # pylint: disable=too-many-locals + """ + Reverberation time from a WAV impulse response. + + :param file_name: name of the WAV file containing the impulse response. + :param bands: Octave or third bands as NumPy array. + :param init, end: Start and end levels, e.g. EDT (init, end) = (0, -10), T30 (init, end) == (-5, -35) + :returns: Reverberation time :math:`T_{60}` + + Adapted from https://github.com/python-acoustics/python-acoustics/blob/master/acoustics/room.py + """ + if bands == 'octave': + center = octave(125, 8000) + low = octave_low(center[0], center[-1]) + high = octave_high(center[0], center[-1]) + elif bands == 'third': + center = third(125, 8000) + low = third_low(center[0], center[-1]) + high = third_high(center[0], center[-1]) + elif bands == 'fullband': + center = ['fullband'] + low = [100] + high = [8000] + else: + raise ValueError() + + if ax: + color_codes = map('C{}'.format, cycle(range(10))) + + factor = 60 / (init - end) + RT = [] + for c, l, h in zip(center, low, high): + # Filtering signal + filtered_signal = bandpass(raw_signal, l, h, fs, order=8) + abs_signal = np.abs(filtered_signal) / np.max(np.abs(filtered_signal)) + + # Schroeder integration + sch = np.cumsum(abs_signal[::-1]**2)[::-1] + sch_db = 10.0 * np.log10(sch / np.max(sch)) + + # Linear regression + init_sample = np.abs(sch_db - init).argmin() + end_sample = np.abs(sch_db - end).argmin() + x = np.arange(init_sample, end_sample) / fs + y = sch_db[init_sample:end_sample] + slope, intercept = stats.linregress(x, y)[0:2] + + # Reverberation time (T30, T20, T10 or EDT) + db_regress_init = (init - intercept) / slope + db_regress_end = (end - intercept) / slope + RT.append(factor * (db_regress_end - db_regress_init)) + + if ax: + color=next(color_codes) + linestyle ='-' if c != 'fullband' else '--' + ax.plot(x, y, label=c, color=color, linestyle=linestyle) + ax.plot(x, intercept + slope*x, color=color, linestyle=linestyle) + return np.array(RT) + + + +def file_to_tf(fname): + print('Loading', fname) + rec, srr = sf.read(fname) + assert SR == srr + # rec_reference = rec[:, 3] # reference is excitation signal + rec_reference = rec[:, 2] # reference is headset signal + rec_leftear = rec[:, 0] + rec_rightear = rec[:, 1] + + print('Frequency window') + # filter frequencies above and below the 125 to 8000 hz octave bands + freqwin = ((60, 88), (12000, 14000)) + delay_seconds = 0 # delay to get causal response + rec_leftear = ( + Response.from_time(SR, rec_leftear) + .delay(delay_seconds) + .freq_window(*freqwin) # apply freqwin + .in_time + ) + rec_rightear = ( + Response.from_time(SR, rec_rightear) + .delay(delay_seconds) + .freq_window(*freqwin) + .in_time + ) + + print('Compute transfer function') + cut_seconds = 0 # cut 10 ms at the beginning of responses to move impulse close to t=0 when using reference signal + ntake = 5 * SR # take only 5 seconds of the response + h_left = transfer_function(ref=rec_reference, meas=rec_leftear, reg_lim_dB=50)[int(cut_seconds * SR):ntake] + h_right = transfer_function(ref=rec_reference, meas=rec_rightear, reg_lim_dB=50)[int(cut_seconds * SR):ntake] + + if DEBUG: + plt.figure() + freqs = Response.freq_vector(len(rec_leftear), SR) + plt.semilogx(freqs, 20 * np.log10(np.abs(np.fft.rfft(rec_rightear))), label='right ear') + plt.semilogx(freqs, 20 * np.log10(np.abs(np.fft.rfft(rec_leftear))), label='left ear') + plt.semilogx(freqs, 20 * np.log10(np.abs(np.fft.rfft(rec_reference))), label='headset') + plt.xlim(50, 15000) + plt.xlabel('Frequency [Hz]') + plt.ylabel('Magnitude [dB]') + plt.ylim(-50, 50) + plt.suptitle(f'Energy in recordings for {fname}') + plt.legend() + plt.show() + + return h_left, h_right + + +if __name__ == '__main__': + + rooms = ['Anechoic', 'CalibrationRoom'] + [f'Room{i}' for i in range(1, 13)] + + # collect RTs in table + octave_bands = octave(125, 8000) + data = [] + data.append(['Room'] + [f'T_30 {band} [s]' for band in octave_bands] + ['DT_40,ME [s]', 'Room Gain G_RG [dB]', 'Voice Support ST_V [dB]', 'G_RG from ST_V [dB]']) + + h_noroom_left, h_noroom_right = file_to_tf('HatsDir/recordings/Anechoic.aif') + + # Energy level without room as average over both ears + E_anechoic = (np.sum(h_noroom_left**2) + np.sum(h_noroom_right**2)) / 2 + + for room in tqdm(rooms, desc='rooms'): + if room == 'Anechoic': + # dont do loading work twice + h_left, h_right = h_noroom_left, h_noroom_right + else: + h_left, h_right = file_to_tf(f"HatsDir/recordings/{room}.aif") + + if DEBUG: + fig = Response.from_time(SR, h_left).plot(label='room response left ear') + Response.from_time(SR, h_right).plot(label='room response right ear', use_fig=fig) + Response.from_time(SR, h_noroom_left).plot(label='anechoic response left ear', use_fig=fig) + Response.from_time(SR, h_noroom_right).plot(label='anechoic response right ear', use_fig=fig) + plt.suptitle(f'Anechoic and {room} response') + plt.show() + + # time window for direct and reverberant sound + h_direct_left = Response.from_time(SR, h_left).time_window(None, (0.0045, 0.0055)).in_time + h_direct_right = Response.from_time(SR, h_right).time_window(None, (0.0045, 0.0055)).in_time + h_reverb_left = Response.from_time(SR, h_left).time_window((0.0045, 0.0055), None).in_time + h_reverb_right = Response.from_time(SR, h_right).time_window((0.0045, 0.0055), None).in_time + + if DEBUG: + t = Response.from_time(SR, h_right).times + plt.plot(t, h_direct_right) + plt.plot(t, h_reverb_right) + plt.xlim((0, 0.050)) + plt.show() + + ax = None + if DEBUG: + fig, ax = plt.subplots() + + # first col is name + results = [room] + + # next cols are T30 + t30_left = RT_impulse(SR, h_left, bands='octave', init=-5, end=-35, ax=ax) + t30_right = RT_impulse(SR, h_right, bands='octave', init=-5, end=-35, ax=ax) + t30 = (t30_left + t30_right) / 2 + results += t30.round(2).tolist() + + # next col is DT_40,ME + DT_40_left = RT_impulse(SR, h_left, bands="fullband", init=0, end=-40, ax=ax) + DT_40_right = RT_impulse(SR, h_right, bands="fullband", init=0, end=-40, ax=ax) + DT_40 = (DT_40_left + DT_40_right) / 2 + results += DT_40.round(2).tolist() + + # next col is room gain + E_room = (np.sum(h_left**2) + np.sum(h_right**2)) / 2 + G_RG = 10 * np.log10(E_room / E_anechoic) + results.append(G_RG.round(3)) + + # next col is voice support + E_reverb = (np.sum(h_reverb_left**2) + np.sum(h_reverb_right**2)) / 2 + E_direct = (np.sum(h_direct_left**2) + np.sum(h_direct_right**2)) / 2 + ST_V = 10 * np.log10(E_reverb / E_direct) + results.append(ST_V.round(3)) + + # next col is room gain computed from voice support + G_ST_V = 10 * np.log10(10**(ST_V/10) + 1) + results.append(G_ST_V.round(3)) + + data.append(results) + + if DEBUG: + ax.legend() + ax.set_title(f'{room} $T_{{30}}$') + ax.set_xlabel('time [s]') + ax.set_ylabel('Level [dB]') + plt.suptitle('Decay curves with fit') + plt.show() + + # print as table + print(tabulate(data, headers='firstrow')) + + # save as table + with open('estimate_room_parameter.csv', 'w', newline='') as csvfile: + writer = csv.writer(csvfile) + writer.writerows(data) + + print('Written results to `estimate_room_parameter.csv`') \ No newline at end of file diff --git a/Room acoustic parameter measurement/estimate_room_parameter.csv b/Room acoustic parameter measurement/estimate_room_parameter.csv new file mode 100644 index 0000000..3616c72 --- /dev/null +++ b/Room acoustic parameter measurement/estimate_room_parameter.csv @@ -0,0 +1,15 @@ +Room,T_30 125.0 [s],T_30 250.0 [s],T_30 500.0 [s],T_30 1000.0 [s],T_30 2000.0 [s],T_30 4000.0 [s],T_30 8000.0 [s],"DT_40,ME [s]",Room Gain G_RG [dB],Voice Support ST_V [dB],G_RG from ST_V [dB] +Anechoic,0.08,0.05,0.05,0.06,0.06,0.06,0.09,0.07,0.0,-8.161,0.617 +CalibrationRoom,0.11,0.06,0.06,0.07,0.07,0.07,2.92,0.08,0.082,-7.544,0.704 +Room1,1.01,0.47,0.27,0.46,0.87,1.15,1.09,1.19,0.997,-3.488,1.607 +Room2,0.49,0.67,0.68,0.41,0.55,0.83,0.83,0.82,0.904,-3.786,1.517 +Room3,0.55,0.5,0.53,0.57,0.54,0.78,0.94,0.78,0.252,-6.528,0.872 +Room4,2.16,1.15,0.91,0.68,0.61,0.88,1.06,0.94,0.263,-6.484,0.88 +Room5,0.88,0.64,0.28,0.07,0.17,0.18,0.26,0.22,0.148,-7.138,0.768 +Room6,0.57,0.54,0.46,0.56,0.61,0.77,0.76,0.75,0.641,-4.746,1.256 +Room7,1.94,0.95,0.11,0.06,0.07,0.14,0.31,0.33,0.154,-7.128,0.769 +Room8,0.71,0.35,0.57,0.71,1.06,1.6,1.52,1.75,0.619,-4.846,1.231 +Room9,0.59,0.74,0.77,0.47,0.57,1.1,1.3,1.09,0.146,-7.158,0.764 +Room10,1.06,0.7,0.37,0.11,0.07,0.29,1.89,0.33,0.032,-7.91,0.651 +Room11,0.71,0.65,0.71,0.61,0.66,1.14,1.36,1.23,0.22,-6.723,0.837 +Room12,0.71,0.66,0.59,0.6,0.58,0.85,1.01,0.87,0.199,-6.849,0.816 diff --git a/Room acoustic parameter measurement/hats_room_parameter.csv b/Room acoustic parameter measurement/hats_room_parameter.csv new file mode 100644 index 0000000..22ff607 --- /dev/null +++ b/Room acoustic parameter measurement/hats_room_parameter.csv @@ -0,0 +1,15 @@ +Room,T_30 125.0 [s],T_30 250.0 [s],T_30 500.0 [s],T_30 1000.0 [s],T_30 2000.0 [s],T_30 4000.0 [s],T_30 8000.0 [s],"DT_40,ME [s]",Room Gain G_RG [dB],Voice Support ST_V [dB],G_RG from ST_V [dB] +Anechoic,0.05,0.05,0.05,0.15,0.06,0.73,0.07,0.07,0.0,-15.127,0.131 +CalibrationRoom,0.07,0.05,0.06,0.06,0.07,0.07,0.09,0.07,-0.032,-14.783,0.142 +Room1,0.93,0.22,0.26,0.46,0.82,1.08,1.09,1.05,0.09,-12.171,0.256 +Room2,0.58,0.68,0.68,0.4,0.51,0.78,0.81,0.69,0.086,-12.388,0.244 +Room3,0.59,0.49,0.52,0.55,0.51,0.74,0.73,0.71,0.01,-14.056,0.167 +Room4,1.96,1.06,0.9,0.66,0.56,0.84,0.84,0.86,0.015,-14.02,0.169 +Room5,0.9,0.55,0.28,0.07,0.17,0.18,0.17,0.22,0.001,-14.501,0.151 +Room6,0.61,0.51,0.45,0.55,0.55,0.74,0.73,0.72,0.068,-12.903,0.217 +Room7,1.84,0.66,0.12,0.07,0.08,0.12,0.14,0.57,-0.0,-14.614,0.148 +Room8,0.66,0.3,0.54,0.71,0.96,1.49,1.57,1.52,0.068,-12.99,0.213 +Room9,0.74,0.73,0.74,0.46,0.54,1.0,1.03,0.87,0.006,-14.531,0.15 +Room10,1.19,4.07,0.37,0.11,0.07,0.24,0.35,0.27,-0.006,-14.998,0.135 +Room11,26.07,19.84,0.68,0.59,0.58,1.06,1.11,1.09,0.018,-14.287,0.159 +Room12,0.81,4.06,0.61,4.28,0.54,0.81,0.8,0.97,0.019,-14.332,0.157 diff --git a/Room acoustic parameter measurement/make_sweep.py b/Room acoustic parameter measurement/make_sweep.py new file mode 100644 index 0000000..c2966cd --- /dev/null +++ b/Room acoustic parameter measurement/make_sweep.py @@ -0,0 +1,16 @@ +import soundfile as sf + +from libownaura.measure_avil_impulse_responses import exponential_sweep + + +sweep = exponential_sweep(T=60, fs=48000, tfade=0.5, f_start=50, f_end=15000, maxamp=1, post_silence=5) +sf.write('sweep_T60_ps5.wav', data=sweep, samplerate=48000, subtype='FLOAT') + +sweep = exponential_sweep(T=120, fs=48000, tfade=0.5, f_start=50, f_end=15000, maxamp=1, post_silence=5) +sf.write('sweep_T120_ps5.wav', data=sweep, samplerate=48000, subtype='FLOAT') + +sweep = exponential_sweep(T=180, fs=48000, tfade=0.5, f_start=50, f_end=15000, maxamp=1, post_silence=5) +sf.write('sweep_T180_ps5.wav', data=sweep, samplerate=48000, subtype='FLOAT') + +sweep = exponential_sweep(T=240, fs=48000, tfade=0.5, f_start=50, f_end=15000, maxamp=1, post_silence=5) +sf.write('sweep_T240_ps5.wav', data=sweep, samplerate=48000, subtype='FLOAT') \ No newline at end of file diff --git a/Room acoustic parameter measurement/sweep_T60_ps5.wav b/Room acoustic parameter measurement/sweep_T60_ps5.wav new file mode 100644 index 0000000000000000000000000000000000000000..9510d78cee7db48187f030061bc4f6be184087e2 GIT binary patch literal 12480080 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= (5,87, -2,72, 1,27) +Refl ms(source) ms(direct) 63 125 250 500 1000 2000 4000 8000 Order Azimuth(deg) Elevation(deg) Source +1 13,18054 0,00000 53,87 53,87 53,86 53,86 53,85 53,82 53,74 53,42 0 41,79 0,58 1 +2 21,69028 8,50974 48,99 48,97 49,32 49,18 48,91 48,48 48,11 47,33 1 47,99 0,05 1 +3 27,34407 14,16353 46,83 46,80 47,26 47,29 46,98 46,58 46,18 45,26 1 119,72 1,50 1 +4 36,32534 23,14481 43,28 43,59 44,04 44,49 44,36 43,95 43,40 42,49 1 21,19 78,47 1 +5 38,04129 24,86076 42,79 43,02 43,02 41,65 39,52 37,36 36,04 34,65 2 27,92 -81,53 1 +6 40,21474 27,03420 41,66 42,01 42,32 40,82 38,44 35,88 34,32 32,62 3 48,14 -64,52 1 +7 40,31691 27,13637 41,75 41,66 42,11 40,15 37,34 34,86 33,01 31,06 3 52,50 -11,96 1 +8 41,56993 28,38939 41,56 41,92 42,65 42,97 42,58 41,77 40,95 39,66 2 39,98 69,49 1 +9 43,21683 30,03630 41,13 41,41 41,70 40,19 37,81 35,24 33,66 31,89 3 45,58 -72,35 1 +10 43,41295 30,23241 41,02 41,29 41,94 42,40 42,11 41,34 40,46 39,13 2 -1,01 83,10 1 +11 45,14761 31,96707 40,59 40,77 40,99 39,62 37,33 34,81 33,17 31,35 3 -1,73 -86,15 1 +12 47,62845 34,44791 40,74 40,68 41,67 41,57 40,84 39,66 38,62 36,70 3 117,95 55,65 1 +13 47,89088 34,71034 38,92 39,22 40,31 40,55 39,39 38,00 36,78 35,06 3 34,66 75,88 1 +14 47,94104 34,76051 41,40 41,38 41,85 41,61 40,71 40,02 39,40 37,96 1 -17,25 -0,91 1 +15 50,22494 37,04441 10,12 35,56 39,89 40,14 38,97 37,58 36,34 34,56 3 114,87 60,57 1 +16 58,68686 45,50632 37,83 38,34 39,08 39,31 38,29 37,23 36,22 34,50 2 -25,50 36,25 1 +17 59,76418 46,58364 33,66 37,06 38,31 36,71 33,69 30,89 29,12 26,93 3 -26,48 -40,13 1 +18 62,06993 48,88939 36,40 37,28 38,38 38,47 37,20 35,74 34,48 32,42 3 -16,15 37,80 1 +19 68,09889 54,91835 37,65 37,60 38,53 38,34 37,12 36,04 35,06 32,88 2 136,65 1,35 1 +20 75,07172 61,89119 36,80 36,75 37,68 37,48 36,26 35,17 34,15 31,80 2 -22,87 -1,02 1 +21 76,04776 62,86722 34,85 35,35 36,56 36,83 35,50 34,07 32,71 30,31 3 142,33 29,17 1 +22 76,34312 63,16258 34,96 35,62 35,95 35,02 32,76 30,18 28,30 25,96 3 -115,46 58,87 1 +23 77,02437 63,84383 36,53 36,47 37,38 37,13 35,57 34,09 32,82 30,17 3 -16,47 -1,08 1 +24 82,35027 69,16973 34,15 34,65 35,87 36,13 34,80 33,35 31,96 29,41 3 -28,12 24,48 1 +25 95,51346 82,33293 34,00 33,93 35,32 35,16 33,63 32,15 30,77 27,67 3 139,76 1,31 1 +26 117,36591 104,18538 31,67 31,59 33,00 32,56 30,44 28,68 27,07 23,42 3 -26,39 -1,09 1 diff --git a/libownaura/lora/Example/Exfiles/auditorium21 at DTU.Job01.00001EnergyCurves.Txt b/libownaura/lora/Example/Exfiles/auditorium21 at DTU.Job01.00001EnergyCurves.Txt new file mode 100644 index 0000000..4c1f0f5 --- /dev/null +++ b/libownaura/lora/Example/Exfiles/auditorium21 at DTU.Job01.00001EnergyCurves.Txt @@ -0,0 +1,551 @@ +Contents: This file contains 3 curve sets +a)Energy-time histogram. +b)Reverse-integrated decay curve (dB SPL) +c)Reverse-integrated decay curve (dB SPL), corrected for missing energy due to truncation. +d)Energy-time histogram for Sqr(Px),Sqr(Py) and Sqr(Pz) - only if calculated by Odeon 6.1 or later +d1)Hint! The energy-intensity curve can be obtained by the formulae 10*log10(Sqrt(Sqr(Px)+Sqr(Py)+Sqr(Pz) +d2)Note! Sqr(Px),Sqr(Py) and Sqr(Pz) are signed values, the sign is part the directional information + + +a) Energy-time histogram (dB SPL) for job 1 +Receiver Number: 3 R03 (x,y,z) = (5,87, -2,72, 1,27) +ms(source) 63 125 250 500 1000 2000 4000 8000 +5,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 +15,00 53,87 53,87 53,86 53,86 53,85 53,82 53,74 53,42 +25,00 51,05 51,05 51,46 51,43 51,45 51,43 51,29 50,71 +35,00 46,21 46,56 46,94 46,92 47,41 47,54 47,42 46,88 +45,00 51,66 51,90 52,69 52,55 51,80 51,35 50,88 49,79 +55,00 45,61 47,05 49,09 49,20 50,44 50,30 50,00 48,87 +65,00 45,60 46,33 47,96 48,51 48,90 48,72 48,35 46,97 +75,00 46,82 47,19 48,48 48,94 49,55 49,24 48,79 47,17 +85,00 46,64 47,19 48,74 49,60 50,89 50,69 50,20 48,48 +95,00 47,36 48,10 49,77 50,72 51,00 50,81 50,22 48,30 +105,00 46,32 47,19 49,08 50,36 50,64 50,45 49,76 47,55 +115,00 44,56 45,50 47,94 49,37 50,09 49,87 49,14 46,73 +125,00 44,05 45,37 47,93 49,06 49,85 49,64 48,77 46,27 +135,00 43,43 44,62 46,98 48,51 50,07 49,84 48,93 46,18 +145,00 43,21 44,66 47,39 49,16 49,77 49,54 48,61 45,68 +155,00 42,77 44,00 46,50 48,30 49,94 49,71 48,69 45,50 +165,00 41,76 43,21 45,95 47,92 49,16 48,97 47,85 44,49 +175,00 43,32 45,04 47,73 49,69 50,36 50,02 48,89 45,38 +185,00 39,48 40,83 43,72 46,59 48,63 48,39 47,15 43,44 +195,00 40,09 41,10 44,24 46,48 48,45 48,11 46,88 42,94 +205,00 40,85 42,49 45,50 48,18 49,01 48,70 47,42 43,21 +215,00 37,63 39,34 42,70 46,36 47,80 47,59 46,12 41,82 +225,00 36,54 38,69 42,16 45,79 47,31 47,04 45,53 40,96 +235,00 36,36 38,14 42,18 45,48 47,01 46,80 45,29 40,54 +245,00 34,99 37,05 41,62 45,25 46,62 46,31 44,64 39,69 +255,00 33,67 36,44 40,35 44,68 46,61 46,42 44,66 39,50 +265,00 34,84 37,07 41,96 45,52 46,80 46,47 44,71 39,34 +275,00 33,44 35,75 40,37 44,60 46,06 45,76 43,98 38,41 +285,00 34,61 36,48 40,99 44,13 45,34 45,00 43,08 37,27 +295,00 32,45 34,86 39,21 43,40 45,52 45,21 43,23 37,27 +305,00 31,66 34,29 39,08 43,62 45,29 44,94 42,83 36,75 +315,00 30,28 33,02 38,36 43,04 44,91 44,64 42,46 36,13 +325,00 31,93 34,62 39,14 44,24 45,39 45,00 42,99 36,48 +335,00 28,00 31,01 37,36 42,55 43,74 43,38 41,23 34,45 +345,00 30,67 33,52 38,10 43,36 44,67 44,39 42,03 35,05 +355,00 26,92 30,18 36,44 41,31 43,29 42,90 40,54 33,38 +365,00 27,56 30,29 36,65 42,22 44,11 43,80 41,54 34,28 +375,00 26,81 30,20 35,35 41,38 43,48 43,07 40,61 33,00 +385,00 24,66 27,96 35,11 40,89 42,78 42,45 39,83 32,10 +395,00 24,64 28,38 35,77 41,31 42,68 42,44 39,61 31,69 +405,00 24,40 29,76 33,90 40,15 42,58 42,38 39,66 31,40 +415,00 23,11 26,66 34,11 40,34 42,04 41,68 38,90 30,61 +425,00 23,83 26,66 33,87 40,07 42,32 42,11 39,17 30,61 +435,00 21,77 24,65 31,82 38,60 40,92 40,63 37,74 29,00 +445,00 19,72 23,05 30,51 37,54 40,26 40,02 36,95 27,98 +455,00 19,24 23,56 31,87 39,01 41,57 41,22 38,14 29,10 +465,00 18,48 22,42 30,65 38,39 40,22 39,76 36,72 27,40 +475,00 19,12 21,87 28,97 36,55 39,38 39,09 35,96 26,28 +485,00 18,28 22,01 30,08 37,21 39,52 39,04 35,76 26,04 +495,00 19,31 21,76 30,36 37,77 39,96 39,61 36,18 26,29 +505,00 15,01 19,22 27,62 35,88 38,68 38,35 34,98 24,87 +515,00 15,71 19,38 27,72 35,63 38,69 38,34 34,89 24,50 +525,00 16,48 22,18 32,73 38,94 39,86 39,25 35,77 25,15 +535,00 14,99 18,84 28,35 35,56 38,63 38,06 34,54 23,77 +545,00 13,28 18,20 27,40 35,14 38,75 38,54 34,86 23,79 +555,00 13,35 17,47 26,01 34,62 37,64 37,32 33,60 22,39 +565,00 14,10 18,78 28,25 35,99 38,19 37,86 34,01 22,58 +575,00 11,14 16,77 25,15 35,13 38,89 38,79 34,83 23,26 +585,00 10,49 15,42 24,48 33,87 36,96 36,54 32,60 20,81 +595,00 16,52 19,87 26,56 35,80 37,32 36,80 32,88 20,83 +605,00 13,70 17,60 24,18 33,66 37,06 36,43 32,46 20,21 +615,00 8,94 13,91 22,61 32,75 37,05 36,87 32,63 20,31 +625,00 7,60 12,62 22,89 32,59 35,94 35,69 31,42 18,80 +635,00 8,23 14,51 27,09 34,57 36,83 36,33 32,04 19,23 +645,00 7,81 13,41 25,88 34,39 36,23 35,69 31,26 18,35 +655,00 4,91 10,12 21,94 32,02 34,90 34,59 30,02 16,98 +665,00 3,32 9,98 20,69 31,90 35,25 34,91 30,57 17,18 +675,00 4,09 9,84 23,67 31,45 34,92 34,31 29,89 16,32 +685,00 4,39 8,67 19,46 30,68 33,72 33,24 28,60 14,83 +695,00 2,74 8,68 19,33 30,33 33,51 33,40 28,62 14,42 +705,00 1,07 6,92 19,20 31,07 34,29 33,89 29,26 15,13 +715,00 2,92 9,09 20,69 31,81 34,56 33,90 29,09 14,79 +725,00 1,71 6,93 17,89 29,77 34,13 33,64 28,61 13,99 +735,00 2,88 8,41 20,11 29,89 33,21 32,85 27,82 12,90 +745,00 -0,20 6,08 19,67 29,66 32,51 31,91 27,04 11,94 +755,00 -2,82 3,62 15,14 28,48 32,54 32,33 27,14 11,81 +765,00 -2,94 4,50 16,76 27,79 32,68 32,24 27,31 11,84 +775,00 -1,44 6,75 14,26 27,36 31,45 31,08 25,73 10,03 +785,00 -3,71 2,62 18,18 28,62 31,71 30,98 25,78 10,01 +795,00 -6,68 1,22 14,96 27,60 31,82 31,31 25,85 9,90 +805,00 -7,67 -0,81 12,99 25,94 30,26 29,74 24,31 8,19 +815,00 -5,96 -0,81 14,10 26,61 30,59 30,16 24,94 8,46 +825,00 -7,30 -0,74 12,71 26,47 30,34 30,06 24,44 7,88 +835,00 -7,93 -1,20 14,77 27,22 30,39 29,78 24,34 7,70 +845,00 -8,47 -2,25 11,47 25,63 30,10 29,68 24,04 7,08 +855,00 -5,08 0,34 13,44 25,89 28,97 28,33 22,67 5,39 +865,00 -4,38 3,78 12,53 24,03 27,75 27,35 21,53 4,06 +875,00 -8,92 -1,67 12,10 27,31 30,21 29,67 24,15 6,40 +885,00 -13,62 -7,02 8,36 23,29 28,03 27,59 21,50 3,75 +895,00 -10,49 -2,63 13,01 25,88 29,39 28,83 23,19 5,38 +905,00 -11,57 -4,25 11,08 25,04 28,61 27,98 22,04 3,72 +915,00 -13,53 -7,40 8,46 23,25 27,35 26,76 20,62 2,27 +925,00 -14,53 -6,54 10,64 23,79 27,60 26,90 20,75 2,18 +935,00 -12,69 -4,94 7,32 22,42 27,36 27,05 21,02 2,31 +945,00 -14,54 -8,80 8,62 23,53 27,00 26,40 20,46 1,35 +955,00 -17,36 -8,74 6,96 23,56 27,74 27,17 20,93 1,63 +965,00 -14,47 -7,73 10,46 24,23 27,79 26,64 20,58 1,08 +975,00 -19,82 -11,47 6,83 21,58 26,28 25,77 19,25 -0,21 +985,00 -14,10 -7,37 8,86 20,92 25,20 25,01 18,35 -1,61 +995,00 -19,93 -11,88 5,02 20,38 25,18 24,63 18,20 -1,91 +1005,00 -20,86 -12,97 3,95 19,03 24,06 23,55 16,90 -3,21 +1015,00 -17,21 -10,47 3,94 21,41 24,83 24,12 17,38 -2,82 +1025,00 -22,92 -14,81 1,39 18,37 24,53 24,44 17,56 -3,23 +1035,00 -24,13 -15,19 4,35 20,56 26,08 25,71 18,83 -1,98 +1045,00 -17,01 -12,10 3,73 19,24 23,86 23,51 16,74 -4,35 +1055,00 -26,70 -18,37 0,59 17,38 23,57 23,02 15,98 -5,26 +1065,00 -26,89 -16,71 5,75 19,66 23,89 23,46 16,33 -5,05 +1075,00 -25,03 -16,34 -1,62 18,71 23,12 22,45 15,39 -6,31 +1085,00 -30,99 -20,65 -0,57 16,66 21,70 21,33 14,07 -7,81 +1095,00 -27,55 -18,08 -0,61 18,16 24,21 23,56 16,33 -5,73 +1105,00 -31,60 -21,36 -1,51 16,48 21,33 20,76 13,48 -8,57 +1115,00 -31,70 -17,41 2,70 17,89 22,71 21,85 14,38 -8,09 +1125,00 -30,70 -22,60 -2,91 16,43 22,13 21,86 14,89 -7,30 +1135,00 -21,62 -17,29 -1,28 17,03 21,85 21,25 13,78 -9,17 +1145,00 -30,29 -21,66 -3,43 16,12 21,78 21,16 13,66 -9,28 +1155,00 -32,60 -23,07 -4,53 13,30 19,36 18,99 11,35 -11,80 +1165,00 -35,58 -19,50 -3,21 15,83 20,85 20,45 12,69 -10,73 +1175,00 -19,06 -12,28 -3,45 16,46 21,76 21,07 13,74 -10,13 +1185,00 -27,17 -18,75 0,60 16,13 19,75 19,14 11,09 -12,98 +1195,00 -37,98 -27,46 -6,22 14,45 20,03 19,49 11,65 -12,44 +1205,00 -32,12 -25,38 -6,93 13,02 19,47 19,29 11,10 -12,98 +1215,00 -33,54 -26,20 -5,57 13,35 19,16 18,57 10,26 -14,29 +1225,00 -24,96 -18,65 -4,97 15,88 20,61 19,45 11,81 -12,80 +1235,00 -42,63 -30,04 -7,91 12,52 19,36 19,37 10,61 -14,02 +1245,00 -39,69 -25,72 -6,71 13,47 18,32 17,89 9,70 -15,36 +1255,00 -37,74 -28,62 -7,94 11,49 17,23 16,53 8,23 -16,77 +1265,00 -18,55 -9,62 -8,22 16,05 20,95 19,37 12,04 -14,09 +1275,00 -36,83 -27,81 -4,08 13,95 18,71 17,73 9,60 -15,94 +1285,00 -42,56 -33,50 -9,06 10,60 17,18 16,71 8,18 -17,62 +1295,00 -41,35 -32,59 -11,73 10,06 15,83 15,50 6,75 -19,26 +1305,00 -41,51 -33,56 -12,45 8,54 15,07 15,59 6,49 -20,22 + +b) Reverse-integrated decay curve (dB SPL) for job 1 +Receiver Number: 3 R03 (x,y,z) = (5,87, -2,72, 1,27) +ms(source) 63 125 250 500 1000 2000 4000 8000 +5,00 60,20 60,80 62,42 63,94 64,89 64,66 63,60 61,17 +15,00 60,20 60,80 62,42 63,94 64,89 64,66 63,60 61,17 +25,00 59,05 59,82 61,77 63,50 64,54 64,29 63,12 60,37 +35,00 58,30 59,20 61,34 63,22 64,32 64,06 62,83 59,87 +45,00 58,02 58,96 61,18 63,11 64,23 63,96 62,70 59,65 +55,00 56,88 58,01 60,52 62,71 63,97 63,71 62,41 59,17 +65,00 56,54 57,65 60,20 62,52 63,78 63,51 62,15 58,75 +75,00 56,18 57,31 59,93 62,34 63,63 63,36 61,96 58,45 +85,00 55,64 56,87 59,60 62,14 63,46 63,19 61,75 58,11 +95,00 55,06 56,37 59,23 61,89 63,21 62,94 61,44 57,61 +105,00 54,25 55,68 58,71 61,54 62,94 62,67 61,09 57,07 +115,00 53,49 55,01 58,21 61,20 62,68 62,40 60,76 56,55 +125,00 52,90 54,50 57,78 60,90 62,43 62,15 60,45 56,08 +135,00 52,29 53,93 57,31 60,61 62,19 61,90 60,15 55,60 +145,00 51,68 53,39 56,88 60,33 61,91 61,62 59,81 55,07 +155,00 51,02 52,76 56,37 59,99 61,64 61,34 59,46 54,54 +165,00 50,31 52,14 55,89 59,68 61,33 61,03 59,08 53,96 +175,00 49,66 51,55 55,43 59,39 61,06 60,75 58,74 53,44 +185,00 48,51 50,45 54,62 58,89 60,68 60,37 58,27 52,70 +195,00 47,93 49,95 54,25 58,63 60,40 60,08 57,92 52,15 +205,00 47,15 49,34 53,80 58,36 60,11 59,80 57,56 51,60 +215,00 45,99 48,34 53,10 57,92 59,76 59,45 57,12 50,91 +225,00 45,31 47,75 52,69 57,60 59,47 59,15 56,76 50,34 +235,00 44,69 47,18 52,28 57,31 59,20 58,88 56,42 49,81 +245,00 44,00 46,60 51,84 57,01 58,93 58,60 56,08 49,27 +255,00 43,41 46,09 51,40 56,71 58,67 58,34 55,75 48,76 +265,00 42,93 45,59 51,05 56,43 58,39 58,05 55,40 48,21 +275,00 42,19 44,93 50,48 56,06 58,08 57,73 55,01 47,61 +285,00 41,57 44,37 50,03 55,74 57,80 57,45 54,66 47,05 +295,00 40,60 43,60 49,45 55,43 57,54 57,20 54,35 46,57 +305,00 39,88 42,98 49,02 55,15 57,26 56,91 54,00 46,02 +315,00 39,17 42,35 48,56 54,83 56,97 56,63 53,65 45,48 +325,00 38,57 41,81 48,12 54,53 56,70 56,34 53,31 44,94 +335,00 37,51 40,88 47,53 54,11 56,36 56,01 52,88 44,27 +345,00 36,99 40,41 47,09 53,79 56,12 55,77 52,58 43,80 +355,00 35,84 39,42 46,51 53,38 55,80 55,44 52,17 43,17 +365,00 35,24 38,87 46,06 53,10 55,54 55,19 51,87 42,69 +375,00 34,43 38,22 45,53 52,73 55,22 54,86 51,44 42,02 +385,00 33,61 37,47 45,09 52,40 54,92 54,56 51,07 41,43 +395,00 33,02 36,95 44,63 52,09 54,65 54,29 50,73 40,90 +405,00 32,33 36,30 44,03 51,71 54,36 54,00 50,38 40,34 +415,00 31,57 35,21 43,59 51,39 54,06 53,68 50,00 39,75 +425,00 30,91 34,56 43,07 51,04 53,78 53,40 49,64 39,18 +435,00 29,96 33,79 42,51 50,67 53,46 53,07 49,24 38,53 +445,00 29,24 33,23 42,12 50,40 53,21 52,81 48,92 38,02 +455,00 28,73 32,79 41,81 50,17 52,98 52,58 48,63 37,57 +465,00 28,21 32,24 41,35 49,82 52,66 52,25 48,22 36,90 +475,00 27,72 31,76 40,96 49,50 52,40 51,99 47,91 36,38 +485,00 27,07 31,29 40,68 49,27 52,18 51,77 47,62 35,93 +495,00 26,46 30,75 40,28 48,99 51,94 51,53 47,33 35,46 +505,00 25,53 30,16 39,81 48,65 51,65 51,24 46,98 34,91 +515,00 25,12 29,80 39,54 48,41 51,43 51,01 46,70 34,45 +525,00 24,60 29,38 39,25 48,18 51,19 50,77 46,40 33,99 +535,00 23,87 28,46 38,15 47,63 50,86 50,45 46,01 33,38 +545,00 23,27 27,96 37,67 47,35 50,59 50,19 45,69 32,88 +555,00 22,81 27,48 37,24 47,08 50,30 49,88 45,31 32,31 +565,00 22,29 27,02 36,90 46,83 50,05 49,64 45,01 31,84 +575,00 21,57 26,31 36,27 46,45 49,76 49,34 44,65 31,29 +585,00 21,16 25,80 35,92 46,12 49,39 48,94 44,17 30,55 +595,00 20,77 25,39 35,59 45,85 49,14 48,68 43,86 30,06 +605,00 18,72 23,95 35,02 45,40 48,84 48,39 43,50 29,51 +615,00 17,08 22,81 34,64 45,10 48,54 48,10 43,14 28,96 +625,00 16,36 22,21 34,36 44,84 48,22 47,76 42,74 28,33 +635,00 15,73 21,70 34,04 44,57 47,96 47,48 42,40 27,81 +645,00 14,89 20,78 33,06 44,12 47,61 47,14 41,98 27,16 +655,00 13,94 19,90 32,14 43,63 47,28 46,81 41,60 26,55 +665,00 13,36 19,42 31,70 43,32 47,02 46,54 41,29 26,05 +675,00 12,90 18,90 31,34 42,99 46,72 46,24 40,90 25,44 +685,00 12,29 18,32 30,53 42,68 46,43 45,95 40,54 24,88 +695,00 11,52 17,82 30,18 42,39 46,19 45,71 40,26 24,42 +705,00 10,90 17,26 29,80 42,11 45,95 45,45 39,95 23,96 +715,00 10,43 16,84 29,41 41,76 45,64 45,13 39,56 23,36 +725,00 9,58 16,04 28,78 41,29 45,29 44,79 39,15 22,71 +735,00 8,81 15,47 28,41 40,98 44,94 44,44 38,75 22,08 +745,00 7,53 14,52 27,72 40,62 44,64 44,13 38,39 21,52 +755,00 6,72 13,85 26,98 40,26 44,36 43,86 38,06 21,01 +765,00 6,21 13,41 26,69 39,96 44,07 43,55 37,69 20,46 +775,00 5,65 12,82 26,22 39,69 43,74 43,21 37,27 19,81 +785,00 4,70 11,58 25,93 39,43 43,48 42,94 36,96 19,33 +795,00 4,03 10,99 25,14 39,05 43,18 42,65 36,61 18,79 +805,00 3,64 10,51 24,70 38,73 42,85 42,32 36,23 18,19 +815,00 3,31 10,17 24,39 38,50 42,60 42,07 35,94 17,73 +825,00 2,76 9,81 23,97 38,21 42,32 41,78 35,58 17,18 +835,00 2,31 9,41 23,63 37,90 42,03 41,48 35,24 16,64 +845,00 1,88 9,02 23,03 37,52 41,72 41,18 34,87 16,05 +855,00 1,46 8,68 22,71 37,23 41,41 40,86 34,49 15,46 +865,00 0,37 7,99 22,17 36,89 41,16 40,61 34,20 15,01 +875,00 -1,41 5,92 21,67 36,66 40,96 40,40 33,96 14,64 +885,00 -2,25 5,09 21,16 36,13 40,57 40,02 33,48 13,94 +895,00 -2,58 4,82 20,92 35,90 40,33 39,76 33,19 13,50 +905,00 -3,35 3,96 20,16 35,44 39,96 39,40 32,73 12,78 +915,00 -4,06 3,24 19,58 35,02 39,63 39,07 32,35 12,20 +925,00 -4,58 2,85 19,23 34,73 39,37 38,81 32,04 11,73 +935,00 -5,05 2,32 18,59 34,36 39,07 38,52 31,71 11,22 +945,00 -5,87 1,42 18,25 34,07 38,76 38,20 31,32 10,63 +955,00 -6,50 0,98 17,75 33,67 38,46 37,90 30,95 10,08 +965,00 -6,87 0,49 17,37 33,23 38,08 37,52 30,50 9,41 +975,00 -7,70 -0,22 16,39 32,64 37,65 37,15 30,03 8,72 +985,00 -7,97 -0,56 15,88 32,29 37,32 36,82 29,65 8,13 +995,00 -9,19 -1,57 14,91 31,96 37,05 36,52 29,31 7,64 +1005,00 -9,57 -2,00 14,44 31,65 36,76 36,23 28,96 7,13 +1015,00 -9,91 -2,36 14,04 31,40 36,52 35,99 28,69 6,70 +1025,00 -10,80 -3,09 13,59 30,94 36,21 35,70 28,35 6,19 +1035,00 -11,08 -3,39 13,32 30,70 35,91 35,36 27,97 5,66 +1045,00 -11,30 -3,69 12,73 30,25 35,43 34,87 27,41 4,84 +1055,00 -12,66 -4,36 12,15 29,89 35,11 34,54 27,02 4,29 +1065,00 -12,83 -4,54 11,84 29,64 34,80 34,22 26,67 3,78 +1075,00 -13,01 -4,81 10,61 29,18 34,43 33,84 26,24 3,17 +1085,00 -13,29 -5,13 10,34 28,78 34,10 33,51 25,87 2,65 +1095,00 -13,36 -5,25 9,97 28,50 33,84 33,24 25,58 2,24 +1105,00 -13,53 -5,48 9,58 28,08 33,34 32,74 25,02 1,48 +1115,00 -13,60 -5,60 9,22 27,77 33,06 32,46 24,71 1,03 +1125,00 -13,67 -5,89 8,13 27,30 32,64 32,06 24,29 0,47 +1135,00 -13,76 -5,98 7,77 26,92 32,23 31,63 23,76 -0,33 +1145,00 -14,53 -6,32 7,20 26,45 31,81 31,21 23,30 -0,94 +1155,00 -14,65 -6,45 6,81 26,03 31,36 30,76 22,80 -1,62 +1165,00 -14,72 -6,54 6,47 25,80 31,08 30,46 22,47 -2,06 +1175,00 -14,75 -6,77 5,98 25,33 30,64 30,00 21,99 -2,70 +1185,00 -16,77 -8,20 5,45 24,73 30,04 29,41 21,29 -3,56 +1195,00 -17,19 -8,60 3,73 24,09 29,62 28,98 20,85 -4,09 +1205,00 -17,22 -8,66 3,27 23,59 29,11 28,46 20,30 -4,77 +1215,00 -17,36 -8,75 2,84 23,19 28,61 27,91 19,74 -5,49 +1225,00 -17,47 -8,83 2,16 22,71 28,09 27,37 19,22 -6,10 +1235,00 -18,32 -9,31 1,22 21,70 27,23 26,60 18,35 -7,15 +1245,00 -18,34 -9,35 0,66 21,14 26,46 25,69 17,55 -8,14 +1255,00 -18,37 -9,45 -0,22 20,33 25,73 24,90 16,77 -9,06 +1265,00 -18,42 -9,50 -1,03 19,72 25,07 24,22 16,12 -9,86 +1275,00 -33,91 -25,10 -1,95 17,29 22,94 22,50 13,96 -11,93 +1285,00 -37,00 -28,42 -6,05 14,59 20,89 20,74 11,97 -14,12 +1295,00 -38,42 -30,04 -9,07 12,38 18,48 18,56 9,63 -16,70 +1305,00 -41,51 -33,56 -12,45 8,54 15,07 15,59 6,49 -20,22 + +c) Reverse-integrated decay curve (dB SPL), corrected for missing energy for job 1 +Receiver Number: 3 R03 (x,y,z) = (5,87, -2,72, 1,27) +ms(source) 63 125 250 500 1000 2000 4000 8000 +5,00 60,20 60,80 62,42 63,94 64,89 64,66 63,60 61,17 +15,00 60,20 60,80 62,42 63,94 64,89 64,66 63,60 61,17 +25,00 59,05 59,82 61,77 63,50 64,54 64,29 63,12 60,37 +35,00 58,30 59,20 61,34 63,22 64,32 64,06 62,83 59,87 +45,00 58,02 58,96 61,18 63,11 64,23 63,96 62,70 59,65 +55,00 56,88 58,01 60,52 62,71 63,97 63,71 62,41 59,17 +65,00 56,54 57,65 60,20 62,52 63,78 63,51 62,15 58,75 +75,00 56,18 57,31 59,93 62,34 63,63 63,36 61,96 58,45 +85,00 55,64 56,87 59,60 62,14 63,46 63,19 61,75 58,11 +95,00 55,06 56,37 59,23 61,89 63,21 62,94 61,44 57,61 +105,00 54,25 55,68 58,71 61,54 62,95 62,67 61,09 57,07 +115,00 53,49 55,01 58,21 61,20 62,68 62,40 60,76 56,55 +125,00 52,90 54,50 57,78 60,90 62,44 62,15 60,45 56,08 +135,00 52,29 53,93 57,31 60,61 62,19 61,90 60,15 55,60 +145,00 51,68 53,39 56,88 60,33 61,91 61,62 59,81 55,07 +155,00 51,02 52,76 56,37 59,99 61,64 61,34 59,46 54,54 +165,00 50,31 52,14 55,89 59,69 61,34 61,03 59,08 53,96 +175,00 49,66 51,55 55,43 59,39 61,06 60,75 58,74 53,44 +185,00 48,51 50,45 54,62 58,89 60,68 60,37 58,27 52,70 +195,00 47,93 49,95 54,25 58,63 60,40 60,08 57,92 52,15 +205,00 47,15 49,34 53,80 58,36 60,11 59,80 57,57 51,60 +215,00 45,99 48,34 53,10 57,92 59,76 59,45 57,12 50,91 +225,00 45,31 47,75 52,69 57,60 59,48 59,16 56,76 50,34 +235,00 44,69 47,18 52,28 57,31 59,21 58,88 56,42 49,81 +245,00 44,00 46,60 51,84 57,01 58,94 58,60 56,08 49,27 +255,00 43,41 46,09 51,40 56,71 58,67 58,34 55,75 48,76 +265,00 42,93 45,59 51,05 56,43 58,39 58,05 55,40 48,21 +275,00 42,19 44,93 50,48 56,06 58,08 57,74 55,02 47,61 +285,00 41,57 44,37 50,03 55,74 57,80 57,45 54,66 47,05 +295,00 40,60 43,60 49,45 55,43 57,55 57,20 54,35 46,57 +305,00 39,88 42,98 49,02 55,15 57,27 56,92 54,00 46,02 +315,00 39,17 42,35 48,56 54,83 56,98 56,63 53,65 45,48 +325,00 38,57 41,81 48,12 54,54 56,70 56,35 53,31 44,94 +335,00 37,51 40,88 47,53 54,11 56,37 56,02 52,88 44,27 +345,00 36,99 40,41 47,09 53,80 56,13 55,77 52,58 43,80 +355,00 35,84 39,42 46,51 53,38 55,80 55,44 52,18 43,17 +365,00 35,24 38,87 46,06 53,11 55,55 55,20 51,87 42,69 +375,00 34,43 38,22 45,53 52,74 55,23 54,87 51,44 42,02 +385,00 33,61 37,47 45,09 52,41 54,93 54,57 51,07 41,43 +395,00 33,02 36,95 44,63 52,09 54,65 54,30 50,73 40,90 +405,00 32,33 36,30 44,03 51,71 54,37 54,01 50,38 40,34 +415,00 31,57 35,21 43,59 51,40 54,07 53,70 50,00 39,75 +425,00 30,91 34,56 43,07 51,04 53,79 53,41 49,65 39,18 +435,00 29,96 33,79 42,51 50,68 53,47 53,08 49,24 38,53 +445,00 29,24 33,23 42,12 50,40 53,22 52,82 48,92 38,02 +455,00 28,73 32,79 41,81 50,17 53,00 52,59 48,64 37,57 +465,00 28,21 32,24 41,35 49,83 52,67 52,26 48,23 36,90 +475,00 27,72 31,76 40,96 49,50 52,42 52,01 47,91 36,38 +485,00 27,07 31,29 40,68 49,28 52,20 51,78 47,62 35,93 +495,00 26,46 30,75 40,28 49,00 51,96 51,54 47,33 35,46 +505,00 25,53 30,16 39,81 48,66 51,67 51,26 46,99 34,91 +515,00 25,12 29,80 39,54 48,42 51,45 51,03 46,70 34,45 +525,00 24,60 29,38 39,25 48,19 51,21 50,79 46,41 33,99 +535,00 23,87 28,46 38,15 47,64 50,88 50,47 46,02 33,38 +545,00 23,27 27,96 37,67 47,36 50,62 50,21 45,69 32,88 +555,00 22,81 27,48 37,24 47,09 50,32 49,91 45,32 32,31 +565,00 22,29 27,02 36,90 46,84 50,08 49,66 45,02 31,84 +575,00 21,57 26,31 36,27 46,47 49,79 49,37 44,66 31,29 +585,00 21,16 25,80 35,92 46,13 49,42 48,97 44,18 30,55 +595,00 20,77 25,39 35,60 45,87 49,17 48,71 43,87 30,06 +605,00 18,72 23,95 35,02 45,42 48,88 48,42 43,51 29,51 +615,00 17,08 22,81 34,64 45,12 48,58 48,14 43,15 28,96 +625,00 16,36 22,21 34,36 44,86 48,26 47,80 42,75 28,33 +635,00 15,73 21,70 34,04 44,59 48,00 47,53 42,42 27,81 +645,00 14,89 20,78 33,06 44,14 47,66 47,18 42,00 27,17 +655,00 13,94 19,90 32,14 43,65 47,33 46,86 41,62 26,55 +665,00 13,36 19,42 31,70 43,35 47,08 46,60 41,31 26,05 +675,00 12,90 18,90 31,35 43,02 46,78 46,29 40,93 25,44 +685,00 12,29 18,32 30,53 42,71 46,49 46,01 40,57 24,88 +695,00 11,52 17,82 30,18 42,43 46,25 45,77 40,28 24,42 +705,00 10,90 17,26 29,81 42,15 46,02 45,52 39,98 23,97 +715,00 10,43 16,84 29,41 41,80 45,71 45,21 39,59 23,36 +725,00 9,58 16,04 28,79 41,34 45,37 44,87 39,19 22,71 +735,00 8,81 15,47 28,42 41,03 45,03 44,53 38,79 22,08 +745,00 7,53 14,52 27,73 40,68 44,73 44,23 38,43 21,52 +755,00 6,72 13,85 26,99 40,32 44,46 43,96 38,10 21,02 +765,00 6,21 13,41 26,70 40,03 44,18 43,65 37,74 20,46 +775,00 5,65 12,82 26,23 39,76 43,86 43,33 37,33 19,82 +785,00 4,70 11,58 25,95 39,50 43,60 43,06 37,01 19,33 +795,00 4,03 10,99 25,15 39,13 43,31 42,78 36,67 18,79 +805,00 3,64 10,51 24,71 38,82 42,99 42,46 36,30 18,19 +815,00 3,31 10,18 24,41 38,59 42,75 42,23 36,02 17,74 +825,00 2,76 9,81 23,99 38,30 42,48 41,95 35,66 17,19 +835,00 2,31 9,42 23,65 38,01 42,21 41,66 35,32 16,65 +845,00 1,88 9,02 23,05 37,63 41,91 41,36 34,96 16,06 +855,00 1,46 8,68 22,74 37,34 41,61 41,06 34,60 15,47 +865,00 0,37 8,00 22,19 37,02 41,37 40,82 34,31 15,02 +875,00 -1,40 5,93 21,70 36,80 41,18 40,62 34,07 14,66 +885,00 -2,25 5,10 21,19 36,28 40,81 40,26 33,61 13,96 +895,00 -2,57 4,83 20,96 36,06 40,58 40,02 33,33 13,52 +905,00 -3,34 3,97 20,20 35,62 40,24 39,67 32,89 12,80 +915,00 -4,05 3,26 19,63 35,22 39,93 39,37 32,52 12,23 +925,00 -4,57 2,87 19,29 34,93 39,68 39,12 32,22 11,77 +935,00 -5,03 2,34 18,65 34,59 39,40 38,86 31,90 11,26 +945,00 -5,85 1,44 18,32 34,31 39,12 38,56 31,53 10,67 +955,00 -6,48 1,01 17,83 33,94 38,85 38,29 31,18 10,13 +965,00 -6,85 0,53 17,45 33,52 38,50 37,94 30,75 9,46 +975,00 -7,67 -0,18 16,49 32,97 38,11 37,60 30,31 8,78 +985,00 -7,94 -0,51 15,99 32,65 37,81 37,31 29,96 8,20 +995,00 -9,15 -1,52 15,06 32,34 37,57 37,04 29,65 7,72 +1005,00 -9,53 -1,94 14,60 32,06 37,31 36,79 29,32 7,22 +1015,00 -9,86 -2,29 14,21 31,84 37,10 36,58 29,07 6,80 +1025,00 -10,74 -3,01 13,78 31,42 36,84 36,32 28,76 6,30 +1035,00 -11,01 -3,30 13,53 31,20 36,57 36,03 28,42 5,79 +1045,00 -11,23 -3,60 12,97 30,81 36,17 35,61 27,92 4,99 +1055,00 -12,57 -4,26 12,42 30,50 35,90 35,33 27,57 4,46 +1065,00 -12,74 -4,43 12,12 30,28 35,64 35,07 27,26 3,97 +1075,00 -12,91 -4,69 10,98 29,89 35,34 34,76 26,89 3,39 +1085,00 -13,18 -5,00 10,74 29,54 35,07 34,50 26,57 2,89 +1095,00 -13,25 -5,12 10,41 29,31 34,87 34,28 26,32 2,51 +1105,00 -13,42 -5,35 10,05 28,96 34,48 33,90 25,87 1,80 +1115,00 -13,49 -5,46 9,73 28,71 34,26 33,68 25,61 1,38 +1125,00 -13,55 -5,74 8,77 28,34 33,95 33,39 25,27 0,86 +1135,00 -13,64 -5,83 8,47 28,05 33,65 33,07 24,85 0,14 +1145,00 -14,39 -6,16 7,98 27,69 33,36 32,78 24,50 -0,40 +1155,00 -14,50 -6,28 7,66 27,37 33,04 32,47 24,12 -1,00 +1165,00 -14,57 -6,37 7,39 27,20 32,85 32,27 23,89 -1,38 +1175,00 -14,60 -6,59 6,99 26,87 32,57 31,97 23,54 -1,91 +1185,00 -16,53 -7,95 6,58 26,46 32,20 31,60 23,06 -2,62 +1195,00 -16,92 -8,33 5,32 26,04 31,94 31,35 22,78 -3,04 +1205,00 -16,96 -8,39 5,00 25,72 31,65 31,06 22,43 -3,57 +1215,00 -17,09 -8,47 4,71 25,48 31,38 30,76 22,10 -4,10 +1225,00 -17,19 -8,55 4,28 25,21 31,11 30,49 21,80 -4,53 +1235,00 -17,99 -8,99 3,74 24,67 30,71 30,13 21,35 -5,24 +1245,00 -18,00 -9,03 3,43 24,40 30,37 29,75 20,96 -5,85 +1255,00 -18,03 -9,12 2,99 24,03 30,10 29,46 20,62 -6,37 +1265,00 -18,08 -9,17 2,62 23,78 29,87 29,23 20,37 -6,78 +1275,00 -27,99 -19,20 2,25 22,98 29,27 28,76 19,68 -7,68 +1285,00 -28,60 -19,84 1,10 22,40 28,87 28,40 19,23 -8,38 +1295,00 -28,77 -20,03 0,65 22,11 28,56 28,10 18,87 -8,93 +1305,00 -29,02 -20,28 0,40 21,83 28,33 27,85 18,60 -9,35 + +d) Energy-time histogram for Sqr(Px),Sqr(Py) and Sqr(Pz) for job 1 +d1)Hint! The energy-intensity curve can be obtained by the formulae 10*log10(Sqrt(Sqr(Px)+Sqr(Py)+Sqr(Pz) +d2)Note! Sqr(Px),Sqr(Py) and Sqr(Pz) are signed values, the sign tells the is part the directional information +Receiver Number: 3 R03 (x,y,z) = (5,87, -2,72, 1,27) +ms(source) Sqr(Px),63 Sqr(Py),63 Sqr(Pz),63 Sqr(Px),125 Sqr(Py),125 Sqr(Pz),125 Sqr(Px),250 Sqr(Py),250 Sqr(Pz),250 Sqr(Px),500 Sqr(Py),500 Sqr(Pz),500 Sqr(Px),1000 Sqr(Py),1000 Sqr(Pz),1000 Sqr(Px),2000 Sqr(Py),2000 Sqr(Pz),2000 Sqr(Px),4000 Sqr(Py),4000 Sqr(Pz),4000 Sqr(Px),8000 Sqr(Py),8000 Sqr(Pz),8000 +5,00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +15,00 181777,078125 162447,71875 2470,361083984375 181718,234375 162395,140625 2469,561279296875 181547,953125 162242,96875 2467,247314453125 181237,515625 161965,546875 2463,0283203125 180821,4375 161593,6875 2457,373779296875 179878,46875 160751 2444,558837890625 176481,890625 157715,59375 2398,39892578125 164009,828125 146569,75 2228,903076171875 +25,00 29152,41796875 100655,828125 1319,98291015625 29218,658203125 100556,578125 1372,2471923828125 31290,140625 110577,1953125 1590,70556640625 29634,150390625 109782,296875 1736,349609375 31404,59765625 109308,953125 2610,801025390625 32463,412109375 107895,734375 3697,030517578125 32453,134765625 103737,90625 4121,8193359375 30097,904296875 90246,96875 4053,742431640625 +35,00 5321,95654296875 3591,177001953125 2105,63427734375 5910,068359375 4225,92626953125 2816,7685546875 6416,6962890625 5230,67919921875 5342,603515625 6749,4287109375 5759,1171875 13469,474609375 5478,203125 6037,74951171875 20971,4140625 6788,03466796875 9337,2265625 26300,908203125 6646,65625 10188,439453125 26474,291015625 5930,46484375 9874,77734375 24165,953125 +45,00 26363,017578125 35466,46875 -16556,43359375 26867,8125 37339,1875 -17637,734375 28003,349609375 46615,859375 -16407,419921875 24508,53125 40577,41015625 -3025,117919921875 21611,716796875 36256,3671875 21815,65625 17377,802734375 33622,91796875 27539,080078125 14135,11328125 30548,119140625 24813,783203125 10540,74609375 23937,5546875 20217,291015625 +55,00 4758,41455078125 1018,699951171875 3973,923828125 2694,44921875 2625,17724609375 3986,6552734375 -1278,549072265625 9545,556640625 7400,2744140625 422,946502685546875 10687,333984375 11407,51953125 5643,37158203125 -557,6419677734375 8691,08203125 5597,44091796875 1051,776611328125 10026,9599609375 4913,51416015625 125,929443359375 8173,78271484375 3865,139892578125 651,1160888671875 6152,91259765625 +65,00 3947,539794921875 884,19940185546875 4225,45068359375 8458,4638671875 1211,257080078125 3847,941650390625 16690,34765625 2206,7841796875 4963,28076171875 21158,646484375 1991,9764404296875 6577,27685546875 11431,7001953125 -6953,32177734375 8996,1865234375 12076,0283203125 -7554,4375 9992,09375 11401,3193359375 -7983,8037109375 8671,9150390625 8891,3720703125 -6387,40478515625 6643,30712890625 +75,00 8995,728515625 -72,104827880859375 3878,6953125 9572,58203125 -2874,239990234375 5441,8740234375 12930,4541015625 -1946,176025390625 6788,53271484375 12928,830078125 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-8,37795523693785071E-5 0,000276755396043881774 0,0105907460674643516 -0,000159074450493790209 0,0316800549626350403 0,58407890796661377 -0,412565439939498901 2,13281083106994629 0,0750417709350585938 -6,01074743270874023 3,18462920188903809 -1,30734133720397949 -9,89281082153320312 -3,37360334396362305 -0,18074449896812439 -1,17269325256347656 -0,303996562957763672 -0,000180637711309827864 -0,00224411138333380222 0,000143897195812314749 + diff --git a/libownaura/lora/Example/Exfiles/auditorium21 at DTU.Job01.00001Parameters.Txt b/libownaura/lora/Example/Exfiles/auditorium21 at DTU.Job01.00001Parameters.Txt new file mode 100644 index 0000000..cd4b554 --- /dev/null +++ b/libownaura/lora/Example/Exfiles/auditorium21 at DTU.Job01.00001Parameters.Txt @@ -0,0 +1,26 @@ +______________________________________________________________________ +Active sources +______________________________________________________________________ +Source number 1 +Source type Point +Description S01 +Position (x,y,z) = (1,500, -1,500, 1,400) +Orientation Azimuth = 0,00 Elevation = 0,00 Rotation = 0,00 +Directivity file Omni.SO8 +Delay 0 +Gain 78,00 +Equalisation (63 Hz - 8000 Hz) 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / + +POINT RESPONSE ENERGY PARAMETERS for job 1 +Receiver Number: 3 R03 (x,y,z) = (5,87, -2,72, 1,27) +PARAM 63 125 250 500 1000 2000 4000 8000 +EDT 0,91 1,00 1,23 1,83 2,22 2,09 1,82 1,18 +T30 0,83 0,97 1,35 1,86 2,14 2,08 1,73 1,08 +SPL 60,2 60,8 62,4 63,9 64,9 64,7 63,6 61,2 +C80 4,0 2,9 0,8 -1,8 -3,0 -2,9 -1,6 1,4 +D50 0,58 0,53 0,41 0,29 0,23 0,24 0,29 0,44 +Ts 58 68 94 142 167 164 133 84 +LF80 0,221 0,222 0,234 0,237 0,266 0,267 0,267 0,256 +SPL(A) 70,9 +LG80* 56,4 +STI 0,47 diff --git a/libownaura/lora/Example/Exfiles/exCompLoRA.m b/libownaura/lora/Example/Exfiles/exCompLoRA.m new file mode 100644 index 0000000..33fac1e --- /dev/null +++ b/libownaura/lora/Example/Exfiles/exCompLoRA.m @@ -0,0 +1,38 @@ +% exampleLoRA + +% Initialisation of the LoRA Toolbox +LoRA = LoRA_startup('fs',48000,... + 'LoudSetName','LoudspeakersPos3D_AVIL',... + 'renderDS',5,... + 'renderER',5); + +path = '.'; +room = 'Copenhagen Central Station Array.centre_back.00001';%'Elmia RoundRobin2 detailed.Job02.00001'; +%'auditorium21 at DTU.Job04.00001'; + +% Compute each part of the multichannel room impulse response (mRIR) +[mIRearly,ylate,Param] = LoRAmRIR(path,room,LoRA.renderDS,LoRA.renderER,LoRA); +% Add the direct sound the early reflections and the late reflections +ymRIR = AddDSERlate(mIRearly,ylate,LoRA.renderDS,LoRA.renderER); + +% Power of the sum of all loudspeakers IR +ySPL=10*log10(sum(sum(ymRIR,2).^2)); + +% Plot the mRIR +figure,plot(ymRIR) +%% Convolution + +% ConvSndSample: This function convolved an anechoic wav file with the multichannel +% impulse response. If the sound file is too long, the resulted convolution is written +% with chunks. This allows for handling very long wav files. The last argument means +% that the level of the resulted convolution is determined by the power of the IR. +ConvSndSample('adjustedCLUEsent003.wav', ymRIR, LoRA.fs, 24, 'outputsound.wav', 1, []); + +% Checking RMS of convolved sound. This function return the RMS of any wav file +% without loading the whole file in Matlab memory. +rmsDig = RMSwav( 'outputsound.wav'); + +% Corresponding SPL +SPLconvsnd = 20*log10(rmsDig); + +fprintf('SPL from the mRIR: %.1fdB \nSPL from the convoled sound: %.1fdB \n',ySPL,SPLconvsnd) diff --git a/libownaura/lora/Example/Exfiles/examplebatch.m b/libownaura/lora/Example/Exfiles/examplebatch.m new file mode 100644 index 0000000..06a7eba --- /dev/null +++ b/libownaura/lora/Example/Exfiles/examplebatch.m @@ -0,0 +1,11 @@ +% examplebatch + +% Initialisation +LoRA_startup('fs',48000,'Session','XX',... + 'LoudSetName','LoudspeakersPos3D_AVIL',... + 'renderDS',5,... + 'renderER',5) + +% Computes mRIR for the room files in PathReadODEON and then convolve them +% with the anechoic sound sample in PathSoundSample. +batchLoRAProc() \ No newline at end of file diff --git a/libownaura/lora/Example/Exfiles/rum019 februaray 2006 version.Job02.00001EarlyReflections.Txt b/libownaura/lora/Example/Exfiles/rum019 februaray 2006 version.Job02.00001EarlyReflections.Txt new file mode 100644 index 0000000..29e748e --- /dev/null +++ b/libownaura/lora/Example/Exfiles/rum019 februaray 2006 version.Job02.00001EarlyReflections.Txt @@ -0,0 +1,47 @@ +Early reflections levels (dB SPL) for job 2 +Receiver Number: 1 R1 (x,y,z) = (7,20, -1,80, 1,00) +Refl ms(source) ms(direct) 63 125 250 500 1000 2000 4000 8000 Order Azimuth(deg) Elevation(deg) Source +1 19,92675 0,00000 44,31 44,31 44,30 44,29 44,28 44,24 44,09 43,54 0 -24,17 0,00 1 +2 22,03113 2,10438 39,19 40,91 40,98 40,84 40,24 39,58 39,10 38,16 1 -23,21 19,98 1 +3 22,79061 2,86387 13,68 25,70 30,25 33,16 35,63 37,40 36,38 35,13 2 -26,05 -35,40 1 +4 24,55706 4,63031 34,40 39,11 40,92 40,81 40,64 39,83 39,04 37,76 2 40,65 -23,63 1 +5 25,00097 5,07422 38,34 41,29 42,06 42,07 41,65 41,12 40,65 39,66 1 43,35 0,00 1 +6 25,32955 5,40280 41,67 41,65 41,99 41,82 41,44 40,87 40,40 39,40 1 -18,80 -1,48 1 +7 26,70850 6,78175 32,39 38,45 39,14 39,28 38,40 37,28 36,47 35,10 2 42,05 16,37 1 +8 27,01632 7,08957 35,20 38,53 39,09 39,06 38,24 37,07 36,26 34,88 2 -18,20 14,74 1 +9 27,33835 7,41160 6,27 21,91 27,13 30,32 32,46 33,81 33,88 32,21 3 45,80 -28,88 1 +10 28,40425 8,47750 37,35 40,30 41,00 40,82 40,44 39,87 39,37 38,29 1 -50,20 0,00 1 +11 28,98966 9,06291 16,03 27,65 31,60 34,10 34,05 32,36 30,97 29,26 3 -27,64 -52,66 1 +12 29,40294 9,47620 33,10 38,44 40,28 40,12 39,44 38,39 37,56 36,14 2 -51,97 -19,56 1 +13 29,48829 9,56154 34,42 37,35 40,40 40,24 39,46 38,41 37,62 36,21 2 35,60 -1,27 1 +14 29,91817 9,99142 37,04 38,14 38,34 38,47 37,69 36,54 35,70 34,25 2 -48,91 14,57 1 +15 30,48177 10,55502 7,24 19,28 24,09 27,29 29,51 30,82 32,46 31,42 3 -52,59 -25,67 1 +16 30,94923 11,02248 27,51 34,54 37,64 37,77 36,67 35,05 33,92 32,14 3 34,66 12,83 1 +17 31,91457 11,98783 35,92 36,78 36,47 35,78 34,39 32,70 31,53 29,74 3 -17,46 31,59 1 +18 32,34770 12,42095 39,27 40,03 40,00 39,87 39,44 38,86 38,34 37,14 1 -165,17 9,85 1 +19 32,42394 12,49720 35,40 38,33 39,34 39,28 38,40 37,20 36,40 34,90 2 -42,32 -1,16 1 +20 33,65459 13,72784 13,93 19,25 22,20 25,00 27,14 29,05 31,24 32,72 2 57,30 0,00 1 +21 33,68485 13,75810 30,17 34,74 37,30 37,52 36,86 35,73 34,87 33,31 2 -164,77 22,81 1 +22 33,75807 13,83133 34,30 36,49 37,06 37,11 36,10 34,45 33,31 31,44 3 -41,32 11,75 1 +23 34,40575 14,47900 35,25 36,19 36,01 35,40 34,03 32,34 31,15 29,29 3 -47,30 30,33 1 +24 35,69799 15,77125 36,61 38,45 38,87 38,76 37,92 36,86 36,03 34,44 2 150,88 8,91 1 +25 36,91398 16,98724 26,26 32,32 36,00 36,50 35,52 33,96 32,79 30,84 3 150,19 20,72 1 +26 38,00504 18,07829 37,34 38,05 38,37 38,07 37,29 36,17 35,33 33,67 2 -167,43 9,37 1 +27 38,15887 18,23212 29,08 34,39 37,72 38,04 37,25 36,14 35,29 33,63 2 -144,69 8,33 1 +28 39,05585 19,12911 34,53 37,60 38,00 37,77 36,53 34,94 33,80 31,82 3 52,13 -0,96 1 +29 39,14943 19,22269 26,61 31,23 34,81 35,86 34,98 33,40 32,22 30,21 3 -167,14 20,50 1 +30 39,29879 19,37204 27,13 35,66 35,84 36,01 35,08 33,50 32,33 30,31 3 -143,93 19,41 1 +31 40,89445 20,96770 31,17 34,08 37,47 37,18 35,99 34,40 33,24 31,21 3 154,88 8,70 1 +32 43,05936 23,13261 26,97 31,89 35,57 36,45 35,45 33,81 32,64 30,55 3 -149,19 8,26 1 +33 43,93344 24,00669 31,22 34,34 36,84 36,56 35,36 33,76 32,59 30,47 3 134,98 7,23 1 +34 50,52841 30,60166 29,19 35,04 35,85 35,72 34,88 33,79 32,85 30,85 2 -68,91 0,00 1 +35 51,39470 31,46795 21,09 28,31 31,98 33,61 32,83 31,45 30,24 27,89 3 -68,02 8,42 1 +36 52,89263 32,96589 22,76 30,39 35,09 34,76 33,60 31,99 30,74 28,38 3 -63,05 -0,71 1 +37 56,58991 36,66317 24,08 31,54 34,77 34,53 33,28 31,66 30,39 27,92 3 -123,17 5,61 1 +38 57,32913 37,40238 2,72 11,57 18,62 22,82 24,54 25,93 27,66 27,78 3 17,47 -4,11 1 +39 63,46946 43,54271 25,43 32,08 33,36 33,34 32,00 30,26 28,94 26,29 3 -73,36 0,00 1 +40 73,00682 53,08007 11,09 26,39 31,67 31,28 30,58 29,11 27,72 24,81 3 -17,45 -4,55 1 +41 73,67500 53,74825 23,93 29,83 32,61 32,29 31,48 30,30 29,19 26,55 2 -6,38 -4,82 1 +42 74,27181 54,34506 15,16 22,17 26,53 29,67 29,50 28,20 26,99 24,05 3 -6,31 1,04 1 +43 79,46720 59,54045 22,49 28,36 31,72 31,24 30,07 28,35 26,92 23,82 3 -5,91 -4,94 1 +44 86,77211 66,84536 21,38 27,75 31,09 30,65 29,43 27,70 26,21 22,91 3 -174,55 7,76 1 diff --git a/libownaura/lora/Example/Exfiles/rum019 februaray 2006 version.Job02.00001EnergyCurves.Txt b/libownaura/lora/Example/Exfiles/rum019 februaray 2006 version.Job02.00001EnergyCurves.Txt new file mode 100644 index 0000000..31b3973 --- /dev/null +++ b/libownaura/lora/Example/Exfiles/rum019 februaray 2006 version.Job02.00001EnergyCurves.Txt @@ -0,0 +1,311 @@ +Contents: This file contains 3 curve sets +a)Energy-time histogram. +b)Reverse-integrated decay curve (dB SPL) +c)Reverse-integrated decay curve (dB SPL), corrected for missing energy due to truncation. +d)Energy-time histogram for Sqr(Px),Sqr(Py) and Sqr(Pz) - only if calculated by Odeon 6.1 or later +d1)Hint! The energy-intensity curve can be obtained by the formulae 10*log10(Sqrt(Sqr(Px)+Sqr(Py)+Sqr(Pz) +d2)Note! Sqr(Px),Sqr(Py) and Sqr(Pz) are signed values, the sign is part the directional information + + +a) Energy-time histogram (dB SPL) for job 2 +Receiver Number: 1 R1 (x,y,z) = (7,20, -1,80, 1,00) +ms(source) 63 125 250 500 1000 2000 4000 8000 +5,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 +15,00 44,31 44,31 44,30 44,29 44,28 44,24 44,09 43,54 +25,00 49,25 50,28 51,08 51,12 50,99 50,67 50,25 49,32 +35,00 50,05 50,80 51,35 51,43 51,42 50,98 50,47 49,29 +45,00 48,32 48,61 49,20 49,25 49,67 49,67 49,10 47,73 +55,00 45,59 46,79 47,86 47,92 48,43 48,08 47,32 45,62 +65,00 42,82 44,61 45,91 46,11 46,74 46,68 45,98 44,03 +75,00 42,71 44,58 45,87 45,82 46,37 46,30 45,59 43,37 +85,00 39,93 42,34 43,52 43,59 44,23 44,04 43,20 40,81 +95,00 38,99 41,81 43,53 43,71 44,43 44,23 43,33 40,42 +105,00 38,09 40,64 42,44 42,46 43,16 43,52 42,47 39,68 +115,00 36,26 39,14 41,45 41,75 42,82 42,76 41,74 38,45 +125,00 33,78 36,93 39,29 39,43 40,32 40,33 39,14 35,58 +135,00 33,30 36,17 38,01 38,15 38,91 39,00 37,80 34,10 +145,00 34,05 36,82 38,44 38,29 38,90 38,92 37,73 33,86 +155,00 32,61 35,60 37,71 38,20 39,02 38,81 36,95 32,55 +165,00 32,36 34,91 37,47 37,68 38,58 38,57 36,59 32,08 +175,00 28,07 31,76 34,78 34,96 36,06 36,20 34,71 29,92 +185,00 25,35 31,07 35,01 35,65 36,96 36,70 34,89 29,64 +195,00 25,15 29,45 32,34 32,72 33,96 33,80 32,37 26,93 +205,00 25,38 29,00 31,78 32,09 33,42 33,77 32,07 26,47 +215,00 22,53 28,02 31,53 31,81 33,41 33,35 31,51 25,47 +225,00 20,70 26,78 30,59 31,00 32,57 33,03 30,95 24,67 +235,00 22,68 26,02 29,26 29,49 30,97 30,68 28,98 22,31 +245,00 22,00 24,68 27,41 27,28 27,99 27,95 26,05 19,33 +255,00 17,23 24,15 29,15 29,80 31,87 32,30 31,29 24,05 +265,00 18,62 23,31 25,86 25,92 27,23 27,35 24,85 17,62 +275,00 14,73 20,56 24,37 25,00 26,10 26,25 24,10 16,36 +285,00 11,39 17,20 21,60 21,48 23,40 23,79 21,63 13,81 +295,00 9,37 17,20 21,26 22,08 24,31 24,62 22,07 14,07 +305,00 8,65 16,88 21,59 22,19 23,58 23,23 20,34 11,82 +315,00 11,35 17,06 20,84 21,24 22,80 22,84 20,44 11,84 +325,00 13,96 18,80 23,02 23,50 23,76 23,76 21,21 12,35 +335,00 12,13 16,05 20,48 23,27 25,07 24,83 21,71 12,30 +345,00 -4,17 7,98 14,59 15,23 17,66 17,76 14,97 5,58 +355,00 2,14 8,90 12,97 13,35 15,65 16,41 13,82 4,32 +365,00 2,08 7,58 11,76 12,58 14,63 14,41 10,99 0,69 +375,00 -6,43 3,53 9,48 9,81 11,51 11,44 8,37 -1,64 +385,00 0,33 5,93 10,29 10,91 13,78 14,24 11,30 1,01 +395,00 -1,84 4,51 7,65 6,03 7,91 8,26 4,86 -5,67 +405,00 -9,67 0,05 8,05 8,92 12,14 12,47 9,01 -2,11 +415,00 -12,98 -4,08 3,19 3,68 6,64 6,88 3,20 -8,38 +425,00 -1,61 4,37 9,18 10,39 13,84 13,97 10,45 -1,54 +435,00 -18,70 -0,50 4,16 5,11 8,37 9,05 4,34 -5,98 +445,00 -16,02 -0,84 5,30 8,84 11,86 11,28 7,04 -5,55 +455,00 -26,88 -8,58 0,25 0,70 4,10 4,42 0,22 -12,07 +465,00 -19,79 -6,80 0,30 0,66 2,93 5,83 1,75 -10,60 +475,00 -26,29 -5,79 4,11 4,75 8,00 9,24 5,54 -7,59 +485,00 -37,34 -9,06 -0,23 -0,51 2,79 3,68 -0,34 -13,51 +495,00 -36,75 -12,16 3,20 3,82 7,30 2,88 -2,14 -15,63 +505,00 -37,79 -18,48 -7,84 -7,10 -3,23 -3,05 -7,72 -21,48 +515,00 -37,72 -17,23 -5,09 -3,93 1,29 1,35 -3,48 -17,73 +525,00 -44,87 -22,63 -11,09 -11,03 -7,06 -7,13 -12,07 -26,84 +535,00 -44,88 -21,16 -11,39 -11,13 -6,63 -5,41 -9,87 -24,46 +545,00 -49,45 -21,48 -11,15 -11,31 -6,79 -6,13 -10,71 -25,40 +555,00 -40,63 -24,03 -12,14 -11,65 -6,31 -6,12 -11,39 -26,77 +565,00 -47,05 -23,26 -15,39 -16,09 -11,80 -11,83 -17,55 -33,05 +575,00 -44,79 -29,37 -13,35 -12,48 -8,11 -6,85 -11,89 -28,20 +585,00 -51,07 -29,15 -16,94 -17,50 -11,45 -10,34 -14,89 -30,71 +595,00 -58,64 -31,11 -19,17 -17,88 -10,47 -11,97 -18,35 -35,54 +605,00 -65,56 -32,20 -19,22 -18,31 -12,31 -12,20 -17,89 -34,23 +615,00 -64,57 -33,88 -19,84 -18,06 -12,43 -12,62 -19,08 -36,77 +625,00 -68,80 -35,98 -22,60 -23,63 -19,95 -22,77 -28,75 -45,54 +635,00 -77,79 -39,57 -25,93 -24,96 -18,49 -18,36 -24,85 -42,84 +645,00 -75,62 -38,11 -24,86 -24,69 -19,22 -18,59 -24,51 -42,16 +655,00 -73,85 -39,14 -24,91 -28,90 -15,62 -14,56 -20,69 -38,87 +665,00 -73,84 -43,58 -26,57 -26,01 -21,50 -22,75 -28,84 -47,23 +675,00 -77,17 -43,29 -29,76 -30,45 -25,80 -26,25 -33,10 -51,55 +685,00 -78,41 -43,14 -31,13 -31,34 -26,62 -26,65 -33,67 -52,15 +695,00 -92,10 -47,05 -33,11 -33,27 -26,67 -25,43 -32,12 -50,75 +705,00 -87,83 -51,74 -35,28 -35,03 -30,23 -29,60 -35,95 -55,11 + +b) Reverse-integrated decay curve (dB SPL) for job 2 +Receiver Number: 1 R1 (x,y,z) = (7,20, -1,80, 1,00) +ms(source) 63 125 250 500 1000 2000 4000 8000 +5,00 55,97 57,09 58,06 58,14 58,47 58,28 57,60 55,93 +15,00 55,97 57,09 58,06 58,14 58,47 58,28 57,60 55,93 +25,00 55,67 56,85 57,87 57,95 58,30 58,11 57,40 55,67 +35,00 54,54 55,78 56,85 56,95 57,41 57,24 56,47 54,53 +45,00 52,64 54,12 55,41 55,51 56,15 56,07 55,21 52,98 +55,00 50,63 52,68 54,22 54,34 55,04 54,94 53,99 51,43 +65,00 49,00 51,38 53,08 53,22 53,98 53,94 52,93 50,11 +75,00 47,80 50,36 52,16 52,28 53,07 53,04 51,96 48,89 +85,00 46,19 49,03 50,99 51,17 52,02 52,00 50,82 47,45 +95,00 45,02 47,98 50,14 50,33 51,23 51,25 49,99 46,39 +105,00 43,77 46,78 49,06 49,27 50,22 50,28 48,94 45,13 +115,00 42,40 45,56 48,00 48,25 49,26 49,25 47,83 43,66 +125,00 41,19 44,44 46,91 47,15 48,15 48,15 46,60 42,11 +135,00 40,32 43,59 46,09 46,34 47,36 47,37 45,75 41,02 +145,00 39,36 42,73 45,35 45,63 46,70 46,68 44,99 40,03 +155,00 37,85 41,44 44,36 44,74 45,91 45,89 44,08 38,83 +165,00 36,30 40,13 43,30 43,65 44,91 44,94 43,15 37,66 +175,00 34,05 38,58 41,99 42,39 43,76 43,80 42,06 36,26 +185,00 32,79 37,56 41,07 41,52 42,95 42,98 41,18 35,10 +195,00 31,93 36,46 39,84 40,22 41,69 41,81 40,01 33,65 +205,00 30,91 35,49 38,99 39,37 40,89 41,06 39,19 32,61 +215,00 29,48 34,39 38,08 38,48 40,03 40,16 38,26 31,41 +225,00 28,50 33,25 36,99 37,42 38,97 39,14 37,23 30,13 +235,00 27,71 32,14 35,86 36,30 37,84 37,92 36,06 28,68 +245,00 26,07 30,93 34,78 35,28 36,84 37,02 35,11 27,54 +255,00 23,92 29,75 33,91 34,53 36,23 36,44 34,54 26,82 +265,00 22,87 28,35 32,14 32,75 34,25 34,33 31,75 23,57 +275,00 20,82 26,72 30,97 31,74 33,28 33,36 30,76 22,29 +285,00 19,60 25,51 29,90 30,71 32,36 32,41 29,71 21,02 +295,00 18,88 24,82 29,20 30,16 31,77 31,77 28,97 20,10 +305,00 18,37 24,00 28,44 29,42 30,92 30,84 27,98 18,85 +315,00 17,88 23,06 27,43 28,51 30,03 30,02 27,16 17,89 +325,00 16,79 21,81 26,36 27,61 29,12 29,09 26,12 16,66 +335,00 13,59 18,80 23,65 25,48 27,62 27,59 24,43 14,64 +345,00 8,13 15,50 20,80 21,48 24,10 24,31 21,11 10,84 +355,00 7,86 14,65 19,62 20,31 22,98 23,23 19,90 9,31 +365,00 6,51 13,31 18,56 19,33 22,10 22,21 18,67 7,65 +375,00 4,57 11,96 17,54 18,30 21,24 21,43 17,86 6,67 +385,00 4,21 11,29 16,80 17,63 20,75 20,97 17,34 5,98 +395,00 1,92 9,80 15,71 16,60 19,77 19,93 16,10 4,31 +405,00 -0,45 8,27 14,97 16,20 19,48 19,62 15,76 3,85 +415,00 -1,00 7,56 13,98 15,30 18,60 18,69 14,73 2,58 +425,00 -1,28 7,26 13,60 14,99 18,31 18,40 14,42 2,22 +435,00 -12,65 4,11 11,66 13,13 16,39 16,45 12,19 -0,15 +445,00 -13,89 2,27 10,81 12,39 15,65 15,58 11,41 -1,47 +455,00 -18,00 -0,64 9,37 9,86 13,30 13,56 9,43 -3,62 +465,00 -18,60 -1,40 8,81 9,30 12,74 13,00 8,88 -4,29 +475,00 -24,81 -2,87 8,15 8,66 12,26 12,08 7,94 -5,45 +485,00 -30,19 -5,98 5,96 6,40 10,23 8,88 4,24 -9,56 +495,00 -31,12 -8,93 4,77 5,41 9,36 7,32 2,38 -11,80 +505,00 -32,51 -11,74 -0,40 0,26 5,13 5,38 0,49 -14,13 +515,00 -34,03 -12,78 -1,27 -0,62 4,44 4,71 -0,23 -15,01 +525,00 -36,46 -14,70 -3,59 -3,36 1,56 2,03 -3,01 -18,33 +535,00 -37,14 -15,46 -4,44 -4,18 0,92 1,47 -3,58 -18,99 +545,00 -37,93 -16,83 -5,42 -5,16 0,08 0,47 -4,75 -20,44 +555,00 -38,25 -18,65 -6,77 -6,36 -0,91 -0,61 -6,01 -22,12 +565,00 -42,01 -20,14 -8,26 -7,89 -2,39 -2,04 -7,50 -23,94 +575,00 -43,64 -23,04 -9,20 -8,60 -2,92 -2,52 -7,95 -24,51 +585,00 -49,95 -24,19 -11,31 -10,88 -4,48 -4,52 -10,20 -26,92 +595,00 -56,41 -25,86 -12,69 -11,95 -5,46 -5,83 -12,01 -29,28 +605,00 -60,35 -27,41 -13,80 -13,23 -7,11 -7,05 -13,15 -30,45 +615,00 -61,92 -29,16 -15,27 -14,85 -8,67 -8,63 -14,93 -32,80 +625,00 -65,31 -30,94 -17,13 -17,66 -11,04 -10,83 -17,04 -35,03 +635,00 -67,89 -32,58 -18,58 -18,93 -11,64 -11,12 -17,34 -35,43 +645,00 -68,36 -33,54 -19,47 -20,17 -12,65 -12,03 -18,19 -36,30 +655,00 -69,27 -35,41 -20,95 -22,06 -13,73 -13,11 -19,35 -37,61 +665,00 -71,13 -37,81 -23,17 -23,07 -18,24 -18,60 -25,10 -43,61 +675,00 -74,45 -39,14 -25,83 -26,16 -21,02 -20,71 -27,48 -46,09 +685,00 -77,78 -41,25 -28,08 -28,18 -22,78 -22,13 -28,87 -47,54 +695,00 -86,45 -45,78 -31,05 -31,05 -25,08 -24,03 -30,62 -49,39 +705,00 -87,83 -51,74 -35,28 -35,03 -30,23 -29,60 -35,95 -55,11 + +c) Reverse-integrated decay curve (dB SPL), corrected for missing energy for job 2 +Receiver Number: 1 R1 (x,y,z) = (7,20, -1,80, 1,00) +ms(source) 63 125 250 500 1000 2000 4000 8000 +5,00 55,97 57,09 58,06 58,14 58,47 58,28 57,60 55,93 +15,00 55,97 57,09 58,06 58,14 58,47 58,28 57,60 55,93 +25,00 55,67 56,85 57,87 57,95 58,30 58,11 57,40 55,67 +35,00 54,54 55,78 56,85 56,95 57,41 57,24 56,47 54,53 +45,00 52,64 54,12 55,41 55,51 56,15 56,07 55,21 52,98 +55,00 50,63 52,68 54,22 54,34 55,04 54,94 53,99 51,43 +65,00 49,00 51,38 53,08 53,22 53,98 53,94 52,93 50,11 +75,00 47,80 50,36 52,16 52,28 53,07 53,04 51,96 48,89 +85,00 46,19 49,03 50,99 51,17 52,02 52,00 50,82 47,45 +95,00 45,02 47,98 50,14 50,33 51,23 51,25 49,99 46,39 +105,00 43,77 46,78 49,06 49,27 50,22 50,28 48,94 45,13 +115,00 42,40 45,56 48,00 48,25 49,26 49,25 47,83 43,66 +125,00 41,19 44,44 46,91 47,15 48,15 48,15 46,60 42,11 +135,00 40,32 43,59 46,09 46,34 47,36 47,37 45,75 41,02 +145,00 39,36 42,73 45,35 45,63 46,70 46,68 44,99 40,03 +155,00 37,85 41,44 44,36 44,74 45,91 45,89 44,08 38,83 +165,00 36,30 40,13 43,30 43,65 44,91 44,94 43,15 37,66 +175,00 34,05 38,58 41,99 42,39 43,76 43,80 42,06 36,26 +185,00 32,79 37,56 41,07 41,52 42,95 42,98 41,18 35,10 +195,00 31,93 36,46 39,84 40,22 41,69 41,81 40,01 33,65 +205,00 30,91 35,49 38,99 39,37 40,89 41,06 39,19 32,61 +215,00 29,48 34,39 38,08 38,48 40,03 40,16 38,26 31,41 +225,00 28,50 33,25 36,99 37,42 38,97 39,14 37,23 30,13 +235,00 27,71 32,14 35,86 36,30 37,84 37,92 36,06 28,68 +245,00 26,07 30,93 34,78 35,28 36,84 37,02 35,11 27,54 +255,00 23,92 29,75 33,91 34,53 36,23 36,44 34,54 26,82 +265,00 22,87 28,35 32,14 32,75 34,25 34,33 31,75 23,57 +275,00 20,82 26,72 30,97 31,74 33,28 33,36 30,76 22,29 +285,00 19,60 25,51 29,90 30,71 32,36 32,42 29,71 21,02 +295,00 18,88 24,82 29,20 30,16 31,77 31,77 28,97 20,10 +305,00 18,37 24,00 28,44 29,42 30,92 30,84 27,98 18,85 +315,00 17,88 23,06 27,43 28,51 30,03 30,02 27,16 17,89 +325,00 16,79 21,81 26,36 27,61 29,12 29,09 26,12 16,66 +335,00 13,59 18,80 23,65 25,48 27,62 27,59 24,43 14,64 +345,00 8,13 15,50 20,80 21,48 24,10 24,31 21,11 10,84 +355,00 7,86 14,65 19,62 20,31 22,98 23,23 19,90 9,31 +365,00 6,51 13,31 18,56 19,33 22,10 22,21 18,67 7,65 +375,00 4,57 11,96 17,54 18,30 21,24 21,43 17,86 6,67 +385,00 4,21 11,29 16,80 17,63 20,75 20,97 17,34 5,98 +395,00 1,92 9,80 15,71 16,60 19,77 19,93 16,10 4,31 +405,00 -0,45 8,27 14,97 16,20 19,48 19,62 15,76 3,85 +415,00 -1,00 7,56 13,98 15,30 18,60 18,69 14,73 2,58 +425,00 -1,28 7,26 13,60 14,99 18,31 18,40 14,42 2,22 +435,00 -12,65 4,11 11,66 13,13 16,39 16,45 12,19 -0,15 +445,00 -13,89 2,27 10,81 12,39 15,65 15,58 11,41 -1,47 +455,00 -18,00 -0,64 9,37 9,86 13,30 13,57 9,44 -3,62 +465,00 -18,60 -1,40 8,81 9,30 12,74 13,00 8,88 -4,29 +475,00 -24,81 -2,87 8,15 8,66 12,26 12,08 7,95 -5,45 +485,00 -30,19 -5,98 5,96 6,40 10,23 8,88 4,24 -9,56 +495,00 -31,12 -8,93 4,77 5,41 9,36 7,33 2,38 -11,80 +505,00 -32,51 -11,74 -0,39 0,26 5,14 5,39 0,49 -14,13 +515,00 -34,03 -12,77 -1,26 -0,62 4,45 4,72 -0,22 -15,01 +525,00 -36,46 -14,70 -3,58 -3,35 1,59 2,05 -2,99 -18,33 +535,00 -37,14 -15,46 -4,42 -4,16 0,95 1,50 -3,56 -18,99 +545,00 -37,93 -16,82 -5,40 -5,13 0,12 0,51 -4,72 -20,43 +555,00 -38,25 -18,64 -6,74 -6,33 -0,87 -0,56 -5,98 -22,10 +565,00 -42,00 -20,12 -8,22 -7,85 -2,33 -1,97 -7,45 -23,92 +575,00 -43,64 -23,01 -9,14 -8,55 -2,85 -2,45 -7,90 -24,48 +585,00 -49,95 -24,16 -11,21 -10,80 -4,39 -4,40 -10,11 -26,89 +595,00 -56,39 -25,81 -12,56 -11,85 -5,34 -5,68 -11,87 -29,21 +605,00 -60,32 -27,33 -13,64 -13,09 -6,93 -6,84 -12,98 -30,36 +615,00 -61,86 -29,04 -15,04 -14,65 -8,42 -8,34 -14,68 -32,66 +625,00 -65,20 -30,77 -16,79 -17,29 -10,62 -10,36 -16,63 -34,79 +635,00 -67,69 -32,33 -18,11 -18,44 -11,16 -10,62 -16,91 -35,17 +645,00 -68,14 -33,24 -18,89 -19,53 -12,05 -11,42 -17,67 -35,99 +655,00 -68,99 -34,95 -20,16 -21,12 -12,97 -12,34 -18,67 -37,19 +665,00 -70,70 -37,03 -21,93 -21,91 -16,38 -16,33 -22,98 -42,13 +675,00 -73,59 -38,12 -23,76 -24,05 -17,97 -17,45 -24,28 -43,73 +685,00 -76,10 -39,69 -25,02 -25,18 -18,76 -18,07 -24,89 -44,51 +695,00 -79,95 -42,31 -26,23 -26,38 -19,53 -18,72 -25,51 -45,33 +705,00 -80,22 -44,08 -27,23 -27,37 -20,46 -19,76 -26,57 -46,80 + +d) Energy-time histogram for Sqr(Px),Sqr(Py) and Sqr(Pz) for job 2 +d1)Hint! The energy-intensity curve can be obtained by the formulae 10*log10(Sqrt(Sqr(Px)+Sqr(Py)+Sqr(Pz) +d2)Note! Sqr(Px),Sqr(Py) and Sqr(Pz) are signed values, the sign tells the is part the directional information +Receiver Number: 1 R1 (x,y,z) = (7,20, -1,80, 1,00) +ms(source) Sqr(Px),63 Sqr(Py),63 Sqr(Pz),63 Sqr(Px),125 Sqr(Py),125 Sqr(Pz),125 Sqr(Px),250 Sqr(Py),250 Sqr(Pz),250 Sqr(Px),500 Sqr(Py),500 Sqr(Pz),500 Sqr(Px),1000 Sqr(Py),1000 Sqr(Pz),1000 Sqr(Px),2000 Sqr(Py),2000 Sqr(Pz),2000 Sqr(Px),4000 Sqr(Py),4000 Sqr(Pz),4000 Sqr(Px),8000 Sqr(Py),8000 Sqr(Pz),8000 +5,00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +15,00 24609,4140625 -11043,7646484375 -8,53424644446931779E-5 24596,546875 -11037,990234375 -8,52978482726030052E-5 24562,833984375 -11022,8603515625 -8,51809309097006917E-5 24508,494140625 -10998,4755859375 -8,4992483607493341E-5 24429,86328125 -10963,1884765625 -8,47198025439865887E-5 24213,927734375 -10866,28515625 -8,39709682622924447E-5 23414,33203125 -10507,45703125 -8,11980644357390702E-5 20618,28515625 -9252,6982421875 -7,15017158654518425E-5 +25,00 64832,94140625 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+______________________________________________________________________ +Active sources +______________________________________________________________________ +Source number 1 +Source type Point +Description teacher +Position (x,y,z) = (1,000, 1,000, 1,700) +Orientation Azimuth = 0,00 Elevation = 0,00 Rotation = 0,00 +Directivity file Omni.SO8 +Delay 0 +Gain 72,00 +Equalisation (63 Hz - 8000 Hz) 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / + +POINT RESPONSE ENERGY PARAMETERS for job 2 +Receiver Number: 1 R1 (x,y,z) = (7,20, -1,80, 1,00) +PARAM 63 125 250 500 1000 2000 4000 8000 +EDT 0,43 0,52 0,60 0,61 0,64 0,65 0,61 0,50 +T30 0,44 0,44 0,60 0,51 0,59 0,63 0,46 0,45 +SPL 56,0 57,1 58,1 58,1 58,5 58,3 57,6 55,9 +C80 11,9 9,9 8,4 8,3 7,5 7,2 8,0 10,4 +D50 0,85 0,79 0,74 0,74 0,71 0,70 0,73 0,80 +Ts 28 33 38 38 42 43 39 31 +LF80 0,326 0,329 0,339 0,336 0,332 0,329 0,325 0,314 +SPL(A) 64,8 +LG80* 45,0 +STI 0,72 diff --git a/libownaura/lora/Example/Playback/TestPlayConvBin.m b/libownaura/lora/Example/Playback/TestPlayConvBin.m new file mode 100644 index 0000000..896b269 --- /dev/null +++ b/libownaura/lora/Example/Playback/TestPlayConvBin.m @@ -0,0 +1,26 @@ +% TestPlayConvBin +% +% Play multichannel file to headphone using HRTF recorded in the SpaceLab + +% load hrtf recorded in the Space Lab +% load('C:\PostDocData\Data\IRrecordings\HRTF_SpaceLab\HRTF_SpaceLab.mat') +% hrtfLa=yir(2300:4348,1:29,:)*10^(-level/20); +load('C:\PostDocData\Data\IRrecordings\HRTF_SpaceLab\hSpaceLab4096.mat') + +% hrtfLa = hrtfLa(70:70+256-1,:,:); + +% parameters +playDeviceID = 3; +Fs = 44100; + +[B,L] = play_convBin_init( hrtfLa, playDeviceID,Fs); + +% SndName = 'C:\PostDocData\Data\Conv\XX\s3D-rum019-Job02-44-cello.wav'; +% SndName = 'C:\PostDocData\Data\Conv\XX\s3D-Elmia -Job02-44-cello.wav'; +% SndName = 'C:\PostDocData\Data\Conv\XX\s3D-Elmia -Job02-44-organ.wav'; +% SndName = 'C:\PostDocData\Data\Conv\XX\s3D-Elmia -Job02-44-percu.wav'; +% SndName = 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z009ILKmY**5I_I{1Q0*~0R#|0009ILKmY**5I_I{1Q0*~0R#|0009ILKmY**5I_I{ z1Q0*~0R#|0009ILKmY**5I_I{1Q0*~0R#|0009ILKmY**5I_I{1Q0*~0R#|0009IL zKmY**5I_I{1Q0*~0R#|0009ILKmY**5I_I{1Q0*~0R#|0009ILKmY**5I_I{1Q0*~ z0R#|0009ILKmY**5I_I{1Q0*~0R#|0009ILKmY**5I_I{1Q0*~0R#|0009ILKmY** N5I_I{1pcoC{s%bpP^ 0: # cut samples at beginning + w_cut = w_cal[:, :n] + print(f"Cutting {np.sum(w_cut**2) / np.sum(w_cal**2) * 100:.5f}% of energy in filter.") + w_cal = w_cal[:, n:] + elif n < 0: # pad at the beginning + w_cal = np.pad(w_cal, ((0, 0), (-n, 0))) + + # NOTE: one could apply a quick fade in here + + return w_cal + + +def main(lora_filter, calibration_file, outfile, debug): + # load lora wav file + w, fs = sf.read(lora_filter) + w = w.T # shape (nch, nsample) + + # load calibration file + with np.load(calibration_file) as data: + assert data['fs'] == fs, f"impulse response (fs={fs}) and calibration file (fs={data['fs']}) must have same samplerate" + h = data['h'] + n = data['n'] + + w_cal = apply_calibration(w, h, n) + + if debug: + r_cal = Response.from_time(fs, np.abs(w_cal).sum(axis=0)) + r_orig = Response.from_time(fs, np.abs(w).sum(axis=0)) + + # plt.figure() + # plt.subplot(3, 1, 1) + # D = librosa.amplitude_to_db(librosa.stft(r_nowindow.in_time), ref=np.max) + # librosa.display.specshow(D, y_axis='log', sr=fs, vmin=-100, vmax=0) + # plt.colorbar(format='%+2.0f dB') + # plt.subplot(3, 1, 2) + # D = librosa.amplitude_to_db(librosa.stft(r_window.in_time), ref=np.max) + # librosa.display.specshow(D, y_axis='log', sr=fs, vmin=-100, vmax=0) + # plt.colorbar(format='%+2.0f dB') + # plt.subplot(3, 1, 3) + # D = librosa.amplitude_to_db(librosa.stft(r_orig.in_time), ref=np.max) + # librosa.display.specshow(D, y_axis='log', sr=fs, vmin=-100, vmax=0) + # plt.colorbar(format='%+2.0f dB') + + plt.figure() + plt.subplot(2, 1 , 1) + plt.title('Energy decay of filter sum') + plt.plot(r_orig.times, 20*np.log10(np.abs(r_orig.in_time) / np.max(np.abs(r_orig.in_time))), label='original') + plt.plot(r_cal.times, 20*np.log10(np.abs(r_cal.in_time) / np.max(np.abs(r_cal.in_time))), label='calibrated') + plt.legend() + plt.xlabel('Time [s]') + plt.ylabel('Energy [s]') + + plt.subplot(2, 1 , 2) + plt.title('Close up at filter start') + plt.plot(r_orig.times, r_orig.in_time / np.max(np.abs(r_orig.in_time)), label='original') + plt.plot(r_cal.times, r_cal.in_time / np.max(np.abs(r_cal.in_time)), label='calibrated') + plt.legend() + plt.xlim(0, 0.030) + plt.xlabel('Time [s]') + plt.ylabel('Normalized filter amplitude') + plt.show() + + # NOTE: subtype here is important, without, there are audible artifacts in the responses, presumbably due to the small values + sf.write(outfile, w_cal.T, fs, subtype='FLOAT') + print(f"Saved calibrated filter at `{outfile}`.") + + +if __name__ == '__main__': + + # def my_regex_window_type(arg_value, pat=re.compile(r"\(\(\d*\.\d+|\d+,\d*\.\d+|\d+\),\(\d*\.\d+|\d+,\d*\.\d+|\d+\)\)")): + # if not pat.match(arg_value): + # raise argparse.ArgumentTypeError + # return arg_value + + parser = argparse.ArgumentParser( + description='Calibrate a set of lora filters.', + formatter_class=argparse.ArgumentDefaultsHelpFormatter + ) + parser.add_argument('lora_filter', help='wav export from lora toolbox.') + parser.add_argument('-c', '--calibration_file', default='calibration_filter.npz') + parser.add_argument('-o', '--output', help='path or name of output file') + #parser.add_argument('--window', help='a time window to be applied to all filters', default=((0, 0.0001), ((3.5, 3.8))), type=my_regex_window_type) + parser.add_argument('-d', '--debug', help='turn on debug plotting', action='store_true') + + # parse args + args = parser.parse_args() + DEBUG = args.debug + + if args.output: + outfile_str = args.output + else: + lora_filter_path = Path(args.lora_filter) + outfile_str = str(lora_filter_path.parent / lora_filter_path.stem) + "_calibrated.wav" + + main(args.lora_filter, args.calibration_file, outfile_str, DEBUG) \ No newline at end of file diff --git a/libownaura/libownaura/calibrate_lora_filters.py b/libownaura/libownaura/calibrate_lora_filters.py new file mode 100644 index 0000000..2e0f4d6 --- /dev/null +++ b/libownaura/libownaura/calibrate_lora_filters.py @@ -0,0 +1,48 @@ +import os +import argparse +from pathlib import Path +from libownaura.apply_calibration import main as apply_calibration + +OWNAURA_PATH = Path(os.path.realpath(__file__)).parent.parent.parent + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description="Calibrate Lora filters using calibration file", + formatter_class=argparse.ArgumentDefaultsHelpFormatter + ) + parser.add_argument( + "-c", "--calibration_file", + help="the calibration file", + default="calibration_file.npz" + ) + parser.add_argument( + "-l", "--lora_filter_folder", + help="the folder holding the lora filters", + default=OWNAURA_PATH / "Lora filters", + type=Path + ) + parser.add_argument( + "-o", "--output_folder", + help="folder to save output", + default=".", + type=Path + ) + parser.add_argument( + "--debug", action="store_true", help="turn on debug plotting", default=False + ) + + args = parser.parse_args() + + print(f'Using calibration_file {args.calibration_file}') + print(f'Using lora_filter_folder {args.lora_filter_folder}') + print(f'Using output_folder {args.output_folder}') + + lora_filters = list(args.lora_filter_folder.glob("*.wav")) + + if not lora_filters: + raise Exception(f'Could not find any lora filters in {args.lora_filter_folder}. Check path!') + + for lora_filter in lora_filters: + outfile = str(args.output_folder / (lora_filter.stem + "_calibrated.wav")) + print('Calibrating', lora_filter) + apply_calibration(str(lora_filter), args.calibration_file, outfile, args.debug) \ No newline at end of file diff --git a/libownaura/libownaura/compute_calibration_filter.py b/libownaura/libownaura/compute_calibration_filter.py new file mode 100644 index 0000000..abd1cb6 --- /dev/null +++ b/libownaura/libownaura/compute_calibration_filter.py @@ -0,0 +1,384 @@ +"""Compute compensation filter C + + $$\frac{H_D}{H_R} = \frac{H_\text{step 2}}{C H_{AVIL}^T W_{ref}}$$ + +which is equivalent to + + $$C = \frac{H_R}{H_D} \frac{H_\text{step 2}}{H_{AVIL}^T W_{ref}}$$ + +""" + +import os +import argparse +from pathlib import Path + +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +import scipy +import scipy.signal +import soundfile as sf + +import libownaura.utils as utils + +import response +from response import Response + +# final filter parameters +fs = 48000 +OWNAURA_PATH = Path(os.path.realpath(__file__)).parent.parent.parent +DEBUG = False + +def wiener_filter(x, y, n, reg=0, constrained=False): + """Compute optimal wiener filter. + + From Elliot, Signal Processing for Optimal Control, Eq. 3.3.26 + + Parameters + ---------- + x : array_like + Reference signal. + y : array_like + Disturbance signal. + n : int + Output filter length. + g : None or array_like, optional + Secondary path impulse response. + constrained : bool, optional + If True, constrain filter to be causal. + + Returns + ------- + numpy.ndarray, shape (n,) + Optimal wiener filter in freqency domain. + + """ + # NOTE: one could time align the responses here first + f, Sxy = scipy.signal.csd(x, y, fs=fs, nperseg=n, return_onesided=False) + _, Sxx = scipy.signal.welch(x, fs=fs, nperseg=n, return_onesided=False) + + Sxx += reg + + if DEBUG: + nplot = n // 2 # plot only positive freqs + _, ax = plt.subplots() + ax.loglog(f[:nplot], Sxx[:nplot] - reg, 'b', label="Sxx") + ax.loglog(f[:nplot], reg * np.ones(nplot), 'k--', label="reg") + ax.loglog(f[:nplot], reg + Sxx[:nplot] , 'b--', label="Sxx + reg") + + plt.loglog(f[:nplot], np.abs(Sxy[:nplot]), 'r', label="Sxy") + plt.title("$H_{step2}$: Cross and Auto Power spectral densities") + plt.legend() + + if not constrained: + return np.real(np.fft.ifft(Sxy / Sxx)) + + c = np.ones(n) + c[n // 2 :] = 0 + # half at DC and Nyquist + c[0] = 0.5 + if n % 2 == 0: + c[n // 2] = 0.5 + + # spectral factor + F = np.exp(np.fft.fft(c * np.fft.ifft(np.log(Sxx), n=n), n=n)) + + h = np.ones(n) + h[n // 2 :] = 0 + return np.real(np.fft.ifft(np.fft.fft(h * np.fft.ifft(Sxy / F.conj()), n=n) / F)) + + +def generate_bands_for_firls(bands, gains): + bands_pairs = [ + bands[i : i + 2] for i in range(0, len(bands)) if len(bands[i : i + 2]) == 2 + ] + bands_corners = [np.sqrt(b[0] * b[1]) for b in bands_pairs] + bands_corners = np.concatenate(([0], np.repeat(bands_corners, 2), [fs / 2])) + gains_corners = np.interp(bands_corners, bands, gains) + return bands_corners, gains_corners + + +def compute_H_R_H_D(odeon_early_reflections_file): + """Compute impulse response that represents the target ratio of reflected + (H_R) to direct (H_D) sound in the Odeon simulation. + + The Odeon file only gives sound pressure levels in octave bands and arrival + times. From these quantities, we generate a + """ + # Load impulse responses from similation: Hr and Hd + df = pd.read_csv( + odeon_early_reflections_file, header=3, delimiter="\t", decimal="," + ) + + bands = [63, 125, 250, 500, 1000, 2000, 4000, 8000] + + direct_spl = df.iloc[0, 3:11].to_numpy(dtype=np.float) + reflec_spl = df.iloc[1, 3:11].to_numpy(dtype=np.float) + target_delay = df.iloc[1, 2] / 1000 + gain_dB = reflec_spl - direct_spl + gains = 10 ** (gain_dB / 20) + + # FIR filter with right magnitude response + number_samples = int(target_delay * fs) * 2 - 1 + gains_in_octave_bands = generate_bands_for_firls(bands, gains) + h_linear = scipy.signal.firls(number_samples, *gains_in_octave_bands, fs=fs) + # FIR filter with also right delay + target_dirac = ( + Response.new_dirac(fs, n=number_samples) + .delay(target_delay) + .in_time + ) + h_r_h_d = response.align(h_linear, target_dirac) + + if False: + print(df) + fig = Response.from_time(fs, h_r_h_d).plot_magnitude(label="H_R_H_D") + fig.gca().semilogx(bands, gain_dB, label="Odeon") + plt.title("Comparison of $H_R/H_D$ to Odeon reflection in magnitude") + plt.legend() + + fig = Response.from_time(fs, h_r_h_d).plot_time(tlim=(0, 0.03)) + plt.vlines(target_delay, 0, 0.25, color="orange") + plt.title("Comparison of $H_R/H_D$ to Odeon reflection in time") + plt.show() + + return h_r_h_d + + +def load_H_avil(h_avil_file): + with np.load(h_avil_file) as data: + assert data["fs"] == fs + h = data["h"] + + if False: + Response.from_time(fs, h).plot(tlim=(0, 0.1), dblim=(-40, 0)) + plt.suptitle("Avil transfer functions $H_{avil}$") + plt.show() + + return h + + +def load_W_ref(lora_w_file): + w_ref, fs_irfile = sf.read(lora_w_file) + assert fs_irfile == fs + w_ref = w_ref.T + + if False: + Response.from_time(fs, w_ref).plot(tlim=(0, 0.1)) + plt.suptitle("Lora filters $W_{ref}$") + plt.show() + + return w_ref + + +def compute_H_direct_avil(h_direct_avil_recording_file, reg, window_length=1024, headset_ch=1, measmic_ch=0, constrained=True): + # load recording + data, fsf = sf.read(h_direct_avil_recording_file) + assert fsf == fs + x = data[:, headset_ch] # headset mic + y = data[:, measmic_ch] # calibration mic + + if False: + nperseg = 2048 + h = wiener_filter(x, y, nperseg, reg=reg, constrained=constrained) + fig = Response.from_time(fs, h).plot(label=f"nperseg = {nperseg}") + nperseg = 1024 + h = wiener_filter(x, y, nperseg, reg=reg, constrained=constrained) + fig = Response.from_time(fs, h).plot(use_fig=fig, label=f"nperseg = {nperseg}") + nperseg = 512 + h = wiener_filter(x, y, nperseg, reg=reg, constrained=constrained) + fig = Response.from_time(fs, h).plot(use_fig=fig, label=f"nperseg = {nperseg}") + nperseg = window_length + h = wiener_filter(x, y, nperseg, reg=reg, constrained=constrained) + fig = Response.from_time(fs, h).plot(use_fig=fig, label=f"nperseg = {nperseg} CHOSEN") + plt.suptitle("$H_{step2}$: check that long filter does not have more energy.") + + nperseg = window_length + h = wiener_filter(x, y, nperseg, reg=reg, constrained=constrained) + + # process response + r = Response.from_time(fs, h) + + if DEBUG: + _, ax = plt.subplots() + f, Cxy = utils.coherence_csd(x, y, fs, nperseg=4096 * 8) + ax.semilogx(f, Cxy) + plt.title("$H_{step2}$: Coherence Cxy between measurement and headset mics\nshould be close to 1 in speech range") + + plt.show() + + return r.in_time + + +def compute_compensation_filter(h_R_h_D, h_direct_avil, h_avil, w_ref, M, reg): + """Compute two things: a minimum phase filter that compensates for gain, and a delay that compensates time shifts.""" + N = 64 + assert h_avil.shape[0] == w_ref.shape[0] == N, f"need {64} channels in avil" + + ## gain + + # what comes out of avil + h_current = np.zeros(h_avil.shape[1] + w_ref.shape[1] - 1) + for i in range(N): + h_current += np.convolve(h_avil[i], w_ref[i]) + + # what we want + h_target = np.convolve(h_R_h_D, h_direct_avil) + + # calibration_gain = H_target / H_current + nsamples = max(len(h_target), len(h_current)) + calibration_gain = np.abs(np.fft.rfft(h_target, n=nsamples)) /(np.abs(np.fft.rfft(h_current, n=nsamples)) + reg) + + # average calibration_gain over bands in log scale + band_center_freqs = [32, 63, 125, 250, 500, 1000, 2000, 4000, 8000, 16000] # include 32 and 16000 only to get start_end_freqs + band_startend_freqs = [ + np.sqrt(b[0] * b[1]) + for b in [ + band_center_freqs[i : i + 2] for i in range(0, len(band_center_freqs)) if len(band_center_freqs[i : i + 2]) == 2 + ] + ] + mean_of_calibration_gain_over_bands = 10**(np.array( + [ + np.mean(10 * np.log10(gains)) + for gains in np.split( + calibration_gain, + [ + utils.find_nearest(Response.freq_vector(nsamples, fs), b)[1] + for b in band_startend_freqs + ], + ) + ] + ) / 10) + + # we are only interested in bands 63 to 8000 so just set first and last to f=0 and f=fs/2 for firwin2 + band_center_freqs[0] = 0 + band_center_freqs[-1] = fs / 2 + + if DEBUG: + plt.figure() + plt.title('Comparison of minimum_phase filter gain to target gain') + plt.semilogx(Response.freq_vector(nsamples, fs), 10*np.log10(calibration_gain), label="target calibration gain") + plt.semilogx(band_center_freqs, 10*np.log10(mean_of_calibration_gain_over_bands), label="target calibration gain in octave bands") + + # design linear phase filter with calibration_gain as magnitude + for Mc in [32, 128, 512, 1024]: + Mc -= 1 + h_linear_phase = scipy.signal.firwin2(Mc, band_center_freqs, mean_of_calibration_gain_over_bands, fs=fs) + h_minimum_phase_square_root_mag = scipy.signal.minimum_phase(h_linear_phase) + h_minimum_phase = np.convolve(h_minimum_phase_square_root_mag, h_minimum_phase_square_root_mag) + + if DEBUG: + plt.plot( + Response.freq_vector(Mc, fs), + 10*np.log10(np.abs(np.fft.rfft(h_minimum_phase))), + label=f"minimum phase, M = {Mc}", + ) + + h_linear_phase = scipy.signal.firwin2(M, band_center_freqs, mean_of_calibration_gain_over_bands, fs=fs) + h_minimum_phase_square_root_mag = scipy.signal.minimum_phase(h_linear_phase) + h_minimum_phase = np.convolve(h_minimum_phase_square_root_mag, h_minimum_phase_square_root_mag) + + if DEBUG: + plt.plot( + Response.freq_vector(M, fs), + 10*np.log10(np.abs(np.fft.rfft(h_minimum_phase))), + 'k', + label=f"minimum phase, M = {M} CHOSEN", + ) + + plt.legend() + plt.grid(True) + plt.xlabel('Frequency [Hz]') + plt.ylabel('Magnitude [dB]') + + if DEBUG: + fig = Response.from_time(fs, h_linear_phase).plot(label='linear phase') + Response.from_time(fs, h_minimum_phase).plot(use_fig=fig, label='minimum phase') + plt.suptitle('linear- and minimum-phase filters') + plt.show() + + + ## delay shift + # pad to same length before comparing + if len(h_current > len(h_target)): + h_target = np.pad(h_target, (0, len(h_current) - len(h_target))) + elif len(h_current < len(h_target)): + h_current = np.pad(h_current, (0, len(h_target) - len(h_current))) + delay_samples = response.delay_between(h_target, h_current) + + print(f"Calibration will cut {delay_samples} samples / {delay_samples / fs * 1000:.2f} ms.") + + return h_minimum_phase, delay_samples + + +if __name__ == "__main__": + parser = argparse.ArgumentParser( + description="Compute calibration filter", + formatter_class=argparse.ArgumentDefaultsHelpFormatter + ) + parser.add_argument( + "calibration_recording", + help='recording of headset and measurement microphone, e.g. "calibration_recording.aif"', + ) + parser.add_argument("-o", "--output", help='output file path', type=Path, default="calibration_file") + parser.add_argument("--measmic-ch", help='channel index of measurement microphone in recoding', default=0, type=int) + parser.add_argument("--headset-ch", help='channel index of headset microphone in recoding', default=1, type=int) + parser.add_argument( + "--filter-length", help="set length (N) of minimum_phase filter. Must be odd.", default=511, type=int + ) + parser.add_argument( + "--debug", action="store_true", help="turn on debug plotting", default=False + ) + parser.add_argument( + "--reg_C", help="set regularization parameter (epsilon) in gain estimation of calibration filter (C)", default=1e-10, type=float + ) + parser.add_argument( + "--reg_H_direct_avil", help="set regularization parameter in estimation of H_{direct, avil}", default=1e-14, type=float + ) + parser.add_argument( + "--window_length", help="set window length (M) in estimation of H_{direct, avil} via Welch's method", default=512, type=int + ) + parser.add_argument( + "--h_avil_file", + help="file path to AVIL impulse responses", + type=Path, + default=OWNAURA_PATH / "h_avil_2022-01-20T15-57-38.npz" + ) + parser.add_argument( + "--lora_ir_reference_file", + help="path to impulse response from lora for reference room", + type=Path, + default=OWNAURA_PATH / "Lora filters/Calibration room.wav" + ) + parser.add_argument( + "--early_reflections_file", + help="path to early reflections from Odeon for reference room", + type=Path, + default=OWNAURA_PATH / "Odeon rooms/Calibration room/AVIL implementation files/10_10_10m_sketchupbase.Job01.00001EarlyReflections.Txt" + ) + + args = parser.parse_args() + DEBUG = args.debug + + print(f'Using h_avil_file {args.h_avil_file}') + print(f'Using early_reflections_file {args.early_reflections_file}') + print(f'Using lora_ir_reference_file {args.lora_ir_reference_file}') + + # compute or load + print("Computing target response H_R / H_D") + h_R_h_D = compute_H_R_H_D(str(args.early_reflections_file)) + + print("Computing avil response H_refl_avil") + h_avil = load_H_avil(str(args.h_avil_file)) + + print("Computing odeon reference filter") + w_ref = load_W_ref(str(args.lora_ir_reference_file)) + + print("Computing h_direct_avil") + h_direct_avil = compute_H_direct_avil(args.calibration_recording, reg=args.reg_H_direct_avil, window_length=args.window_length, headset_ch=args.headset_ch, measmic_ch=args.measmic_ch) + + print("Computing calibration filter") + h, n = compute_compensation_filter(h_R_h_D, h_direct_avil, h_avil, w_ref, args.filter_length, reg=args.reg_C) + + np.savez(args.output, h=h, n=n, fs=fs, docs="h: impulse response, n: samples to cut at beginning, fs: samplerate") + print(f"Created {args.output.resolve()}.npz") \ No newline at end of file diff --git a/libownaura/libownaura/measure_avil_impulse_responses.py b/libownaura/libownaura/measure_avil_impulse_responses.py new file mode 100644 index 0000000..0045481 --- /dev/null +++ b/libownaura/libownaura/measure_avil_impulse_responses.py @@ -0,0 +1,249 @@ +# %% + +import warnings +import argparse +import pathlib +from datetime import datetime + +import sounddevice as sd +import numpy as np +import matplotlib.pyplot as plt +from response import Response +from scipy.signal.windows import hann +from tqdm import tqdm + +def warn_on_streaming_error(): + status = sd.get_status() + if status.input_underflow: + warnings.warn('Input underflow') + if status.input_overflow: + warnings.warn('Input overflow') + if status.output_overflow: + warnings.warn('output overflow') + if status.output_underflow: + warnings.warn('output underflow') + if status.priming_output: + warnings.warn('Primed output') + + +def transfer_function( + ref, + meas, + ret_time=True, + axis=-1, + reg=0, + reg_lim_dB=None, +): + """Compute transfer-function between time domain signals. + + Parameters + ---------- + ref : ndarray, float + Reference signal. + meas : ndarray, float + Measured signal. + ret_time : bool, optional + If True, return in time domain. Otherwise return in frequency domain. + axis : integer, optional + Time axis + reg : float + Regularization in deconvolution + reg_lim_dB: float + Regularize such that reference has at least reg_lim_dB below of maximum energy + in each bin. Overwrites `reg` option. + + Returns + ------- + h : ndarray, float + Transfer-function between ref and meas. + + """ + R = np.fft.rfft(ref, axis=axis) + Y = np.fft.rfft(meas, axis=axis) + + R[R == 0] = np.finfo(complex).eps # avoid devision by zero + + # Avoid large TF gains that lead to Fourier Transform numerical errors + TOO_LARGE_GAIN = 1e9 + too_large = np.abs(Y / R) > TOO_LARGE_GAIN + if np.any(too_large): + warnings.warn( + f"TF gains larger than {20*np.log10(TOO_LARGE_GAIN):.0f} dB. Setting to 0" + ) + Y[too_large] = 0 + + if reg_lim_dB is not None: + # maximum of reference + maxRdB = np.max(20 * np.log10(np.abs(R)), axis=axis) + + # power in reference should be at least + minRdB = maxRdB - reg_lim_dB + + # 10 * log10(reg + |R|**2) = minRdB + reg = 10 ** (minRdB / 10) - np.abs(R) ** 2 + reg[reg < 0] = 0 + + H = Y * R.conj() / (np.abs(R) ** 2 + reg) + + if ret_time: + h = np.fft.irfft(H, axis=axis, n=ref.shape[axis]) + return h + else: + return H + + +def measure_single_impulse_response( + sound, + fs, + out_ch=1, + in_ch=1, + reg_lim_dB=None, + **sd_kwargs, +): + """Measure impulse response between single output and multiple inputs. + + Parameters + ---------- + sound : ndarray, shape (nt,) + Excitation signal + fs : int + Sampling rate of sound + out_ch : int or list, optional + Output channels + in_ch : int or list of length nin, optional + Input channels + + Returns + ------- + ndarray, shape (nin, nt) + Impulse response between output channel and input channels + + """ + out_ch = np.atleast_1d(out_ch) + in_ch = np.atleast_1d(in_ch) + + rec = sd.playrec( + sound, + samplerate=fs, + input_mapping=in_ch.copy(), # make copies of mapping because of + output_mapping=out_ch.copy(), # github.com/spatialaudio/python-sounddevice/issues/135 + blocking=True, + **sd_kwargs, + ) + warn_on_streaming_error() + + return transfer_function(sound[:, None], rec, axis=0, reg_lim_dB=reg_lim_dB).T + + +def exponential_sweep( + T, fs, tfade=0.05, f_start=None, f_end=None, maxamp=1, post_silence=0 +): + """Generate exponential sweep. + + Sweep constructed in time domain as described by `Farina`_ plus windowing. + + Parameters + ---------- + T : float + length of sweep + fs : int + sampling frequency + tfade : float + Fade in and out time with Hann window. + post_silence : float + Added zeros in seconds. + + Returns + ------- + ndarray, floats, shape (round(T*fs),) + An exponential sweep + + .. _Farina: + A. Farina, “Simultaneous measurement of impulse response and distortion + with a swept-sine techniqueMinnaar, Pauli,†in Proc. AES 108th conv, + Paris, France, 2000, pp. 1–15. + + """ + n_tap = int(np.round(T * fs)) + + # start and stop frequencies + if f_start is None: + f_start = fs / n_tap + if f_end is None: + f_end = fs / 2 + + assert f_start < f_end + assert f_end <= fs / 2 + + w_start = 2 * np.pi * f_start + w_end = 2 * np.pi * f_end + + # constuct sweep + t = np.linspace(0, T, n_tap, endpoint=False) + sweep = np.sin( + w_start + * T + / np.log(w_end / w_start) + * (np.exp(t / T * np.log(w_end / w_start)) - 1) + ) + sweep = sweep * maxamp # some buffer in amplitude + + if tfade: + n_fade = round(tfade * fs) + fading_window = hann(2 * n_fade) + sweep[:n_fade] = sweep[:n_fade] * fading_window[:n_fade] + sweep[-n_fade:] = sweep[-n_fade:] * fading_window[-n_fade:] + + if post_silence > 0: + silence = np.zeros(int(round(post_silence * fs))) + sweep = np.concatenate((sweep, silence)) + + return sweep + + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description='Measure loudspeaker responses', + formatter_class=argparse.ArgumentDefaultsHelpFormatter + ) + parser.add_argument('-o', '--output', help='output file name or path', default='h_avil_' + datetime.now().isoformat(timespec='seconds').replace(':', '-'), type=pathlib.Path) + parser.add_argument('-t', '--sweep-time', help='length of exponential sweep in seconds', default=1, type=int) + parser.add_argument('-n', '--nrepetitions', help='average impulse response over n repetitions', default=3, type=int) + parser.add_argument('-p', '--post-silence', help='record X seconds longer to capture complete response', default=0.3, type=float) + parser.add_argument('-m', '--max-amp', help='max amplitude of excitation signal', default=0.03, type=float) + parser.add_argument('-i', '--input-channel', help='index of input channel', default=7, type=int) + parser.add_argument('-N', '--nout', help='number of loudspeakers to measure', default=64, type=int) + parser.add_argument('-d', '--debug', help='turn on plotting', default=False, action='store_true') + + args = parser.parse_args() + + # device setup + fs = 48000 + sd.default.device = 'RedNet PCIe' + sd.default.samplerate = fs + sd.default.latency = ('low', 'low') + out_chs = np.arange(1, args.nout + 1) + + # compute sweep signal + x = exponential_sweep(args.sweep_time, fs, post_silence=args.post_silence, tfade=0) * args.max_amp; + + # measure every loudspeaker + h = [] + for out_ch in tqdm(out_chs, desc='Loudspeaker', leave=False): + # average over repetitions + h_avg = 0 + for i in range(args.nrepetitions): + h_avg += measure_single_impulse_response(x, fs, out_ch=out_ch, in_ch=args.input_channel)[0] / args.nrepetitions + h.append(h_avg) + h = np.stack(h) + + # save + np.savez(str(args.output), h=h, fs=fs, x=x) + print(f'Created {str(args.output)}') + + if args.debug: + Response.from_time(fs, h).plot(dblim=(-40, 0), flim=(80, 20000)) + plt.show() + + +# %% diff --git a/libownaura/libownaura/time_window_impulse_response.py b/libownaura/libownaura/time_window_impulse_response.py new file mode 100644 index 0000000..3783637 --- /dev/null +++ b/libownaura/libownaura/time_window_impulse_response.py @@ -0,0 +1,53 @@ +import argparse +import pathlib + +import numpy as np +import matplotlib.pyplot as plt +from response import Response +from scipy.signal.windows import hann + +from libownaura.utils import time_window_type + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description='Time window loudspeaker responses', + epilog='Example: python -m libownaura.time_window_impulse_response --debug -w "((0.0195, 0.0197), (0.023, 0.024))" h_avil_2021-02-05T16-59-50.npz', + formatter_class=argparse.ArgumentDefaultsHelpFormatter + ) + parser.add_argument('response', help='impulse response file', type=pathlib.Path) + parser.add_argument('-w', '--time-window', help='specify the hann-window as a pair of in/out fade times in seconds. Default is `((0.0195, 0.0197), (0.023, 0.024))`', + default=((0.0195, 0.0197), (0.023, 0.024)), type=time_window_type, + ) + parser.add_argument('-o', '--output', help='output file name or path', default=None, type=pathlib.Path) + parser.add_argument('-d', '--debug', help='turn on plotting', default=False, action='store_true') + + args = parser.parse_args() + + if args.output is None: + args.output = args.response.with_name(args.response.stem + '_windowed') + + with np.load(args.response) as data: + h = data['h'] + fs = data['fs'] + + print(repr(args.time_window)) + + t_start = args.time_window[0][0] + t_end = args.time_window[1][1] + + # crop the responses + r = Response.from_time(fs, h) + r_windowed = r.time_window(*args.time_window).timecrop(0, t_end) # creates copy + + if args.debug: + r.plot(tlim=(t_start, t_end), flim=(80, 20000), dblim=(-30, -5)); + plt.suptitle('Before cropping and windowing'); + r_windowed.plot(tlim=(t_start, t_end), flim=(80, 20000), dblim=(-30, -5)); + plt.suptitle('After cropping and windowing'); + plt.show() + + # save + np.savez(args.output, h=r_windowed.in_time, fs=fs) + print(f"Created {args.output}") + + diff --git a/libownaura/libownaura/utils.py b/libownaura/libownaura/utils.py new file mode 100644 index 0000000..23a378e --- /dev/null +++ b/libownaura/libownaura/utils.py @@ -0,0 +1,85 @@ +import argparse +import re +import numpy as np + +from scipy.signal import correlate, coherence +from response import Response +from ast import literal_eval + +def time_align(x, y, fs, trange=None): + """Time align two signals, zeropad as necessary. + + If `dt` is positive `x` was delayed and `y` zeropadded for same length. + """ + assert len(x) == len(y) + n = x.size + + # cross correlation + xcorr = correlate(y, x, mode="full") + + # delta time array to match xcorr + t = np.arange(1 - n, n) / fs + + if trange is not None: + idx = np.logical_and(trange[0] <= t, t <= trange[1]) + t = t[idx] + xcorr = xcorr[idx] + + # estimate delay in time + dt = t[xcorr.argmax()] + + # match both responses in time and length + if dt >= 0: + x = Response.from_time(fs, x).delay(dt, keep_length=False).in_time + y = Response.from_time(fs, y).zeropad_to_length(x.size).in_time + else: + y = Response.from_time(fs, y).delay(-dt, keep_length=False).in_time + x = Response.from_time(fs, x).zeropad_to_length(y.size).in_time + + return x, y, dt + + +def coherence_csd(x, y, fs, compensate_delay=True, **csd_kwargs): + """Estimate maginitude squared coherence of two signals using Welch's method. + + Parameters + ---------- + x, y : ndarray, float + Reference and measured signal in one dimensional arrays of same length. + fs : int + Sampling frequency + compensate_delay: optional, bool + Compensate for delays in correlation estimations. + **csd_kwargs + Kwargs are fed to csd and welch functions. + + Returns + ------- + f : ndarray + Array of sample frequencies. + Cxy : ndarray + Magnitude squared coherence + + """ + assert x.ndim == 1 + assert y.ndim == 1 + assert x.size == y.size + + if compensate_delay: + x, y, _ = time_align(x, y, fs) + + f, Cxy = coherence(x, y, fs=fs, **csd_kwargs) + + return f, Cxy + + +def find_nearest(array, value): + """Find nearest value in an array and its index.""" + idx = (np.abs(array - value)).argmin() + return array[idx], idx + + +def time_window_type(arg_value, pat=re.compile(r"\(\(\d*\.\d+|\d+,\d*\.\d+|\d+\),\(\d*\.\d+|\d+,\d*\.\d+|\d+\)\)")): + if not pat.match(arg_value): + raise argparse.ArgumentTypeError + return literal_eval(arg_value) \ No newline at end of file diff --git a/libownaura/lora/.gitattributes b/libownaura/lora/.gitattributes new file mode 100644 index 0000000..596f2a3 --- /dev/null +++ b/libownaura/lora/.gitattributes @@ -0,0 +1,51 @@ + Auto detect text files and perform LF normalization +# http://davidlaing.com/2012/09/19/customise-your-gitattributes-to-become-a-git-ninja/ +* text=auto + +# +# The above will handle all files NOT found below +# + +# Matlab +*.m text diff=matlab +*.mat binary +*.mexw32 binary +*.mexw64 binary +*.mexa64 binary +*.mexmaci64 binary + +# LaTeX +*.tex diff=tex + +# Documents +*.doc diff=astextplain +*.DOC diff=astextplain +*.docx diff=astextplain +*.DOCX diff=astextplain +*.dot diff=astextplain +*.DOT diff=astextplain +*.pdf diff=astextplain +*.PDF diff=astextplain +*.rtf diff=astextplain +*.RTF diff=astextplain +*.md text +*.adoc text +*.textile text +*.mustache text +*.csv text +*.tab text +*.tsv text +*.sql text + +# Graphics +*.eps binary +*.png binary +*.jpg binary +*.jpeg binary +*.gif binary +*.ico binary +*.svg text + +# Audio +*.wav binary +*.mp3 binary diff --git a/libownaura/lora/.gitignore b/libownaura/lora/.gitignore new file mode 100644 index 0000000..52659bf --- /dev/null +++ b/libownaura/lora/.gitignore @@ -0,0 +1,86 @@ +# --- LaTeX --- +*.asv +*.old +*.aux +*.bbl +*.blg +*.dvi +*.fdb_latexmk +*.fls +*.glg +*.glo +*.gls +*.idx +*.ilg +*.ind +*.ist +*.lof +*.log +*.lot +*.nav +*.nlo +*.out +*.pdfsync +*.ps +*.pyg +*.snm +*.synctex.gz +*.toc +*.vrb +*.maf +*.mtc +*.mtc0 + +# --- OS X --- +.DS_Store +.AppleDouble +.LSOverride + +# Icon must ends with two \r. +Icon + +# Thumbnails +._* + +# Files that might appear on external disk +.Spotlight-V100 +.Trashes +# Windows image file caches +Thumbs.db +ehthumbs.db + + +# --- Windows --- +# Folder config file +Desktop.ini + +# Recycle Bin used on file shares +$RECYCLE.BIN/ + +# Windows Installer files +*.cab +*.msi +*.msm +*.msp + +##--------------------------------------------------- +## Remove autosaves generated by the Matlab editor +## We have git for backups! +##--------------------------------------------------- + +# Windows default autosave extension +*.asv + +# OSX / *nix default autosave extension +*.m~ + +# Compiled MEX binaries (all platforms) +#*.mex* + +# Simulink Code Generation +slprj/ + +# LoRA specific +data/ +Log/ +sounds/ diff --git a/libownaura/lora/CHANGELOG.md b/libownaura/lora/CHANGELOG.md new file mode 100644 index 0000000..eb944f8 --- /dev/null +++ b/libownaura/lora/CHANGELOG.md @@ -0,0 +1,64 @@ +# Change Log +All notable changes to this project will be documented in this file. + + +## [v0.92] - 2016-06-10 +### Added +- warning if early reflections are longer than late reverb tail + +### Changed +- normalize convolved signal +- naming of folder and filename of convolved files +- naming of filename of IRs +- fixed error in convolutions +- command window information +- writing audio in 32-bit +- adding data to previously written .mat files +- clear up data between convolutions to free up memory + +## [v0.91] - 2016-25-05 +### Removed +- sound files + +## [v0.9] - 2016-25-05 +### Added +- GPU can be used for convolutions +- mIR is written as wave file + +### Changed +- readme +- naming of output files + +### Removed +- calibration (this should be done externally) +- cleanup of not needed files + +## [v0.8] - 2016-25-05 +### Changed +- demo to work with DTU array setup +- removed playback coefficient multiplication + +### Removed +- waveex functionalties + +## [v0.7] - 2016-25-05 +### Added +- Readme +- NAL version received from Adam Westermann + +### Changed +- adapted NAL version to DTU array setup + +## [v0.6] - 2016-25-05 +### Added +- PDF guide from Sylvain + +### Changed +- Runs without calibration +- Audio read/write adapted to new MATLAB version +- Reads the new ODEON txt files +- Parameters changed to DTU array setup + +## [v0.5] - 2016-25-05 +### Added +- version as from Sylvain Favrot (2010) diff --git a/libownaura/lora/Example/Exfiles/Elmia RoundRobin2 detailed.Job02.00001EarlyReflections.Txt b/libownaura/lora/Example/Exfiles/Elmia RoundRobin2 detailed.Job02.00001EarlyReflections.Txt new file mode 100644 index 0000000..fe16363 --- /dev/null +++ b/libownaura/lora/Example/Exfiles/Elmia RoundRobin2 detailed.Job02.00001EarlyReflections.Txt @@ -0,0 +1,42 @@ +Early reflections levels (dB SPL) for job 2 +Receiver Number: 4 middle (x,y,z) = (25,50, -4,90, 27,50) +Refl ms(source) ms(direct) 63 125 250 500 1000 2000 4000 8000 Order Azimuth(deg) Elevation(deg) Source +1 51,87871 0,00000 46,00 45,99 45,98 45,95 45,91 45,81 45,43 44,00 0 -5,13 -0,95 1 +2 52,04938 0,17066 44,14 44,59 43,34 40,41 38,34 37,05 35,77 33,75 1 -5,93 -15,06 1 +3 72,44408 20,56537 17,76 23,69 29,49 32,49 35,34 37,59 39,54 38,44 1 39,75 -0,37 1 +4 72,62620 20,74748 16,54 22,93 27,18 27,28 28,08 29,11 30,17 28,17 2 40,53 -15,44 1 +5 73,79159 21,91288 25,76 28,71 31,78 35,00 37,86 40,54 41,51 39,28 1 -2,08 35,27 1 +6 74,73800 22,85929 23,91 26,91 27,44 25,62 24,30 26,26 27,65 24,83 2 -8,00 -50,62 1 +7 83,85839 31,97967 40,86 40,83 41,05 41,23 41,12 40,96 40,29 37,78 1 -5,92 57,56 1 +8 84,30453 32,42582 13,13 16,07 19,38 22,82 25,62 28,28 30,51 30,82 2 -3,88 52,51 1 +9 85,11332 33,23461 38,42 38,30 35,31 29,51 24,28 23,94 24,65 21,55 2 -24,51 -71,36 1 +10 89,76764 37,88893 40,21 40,19 40,76 40,73 40,57 39,76 38,58 35,91 1 -34,35 0,83 1 +11 89,91394 38,03523 38,36 38,79 38,11 35,18 33,01 31,13 29,09 25,85 2 -35,70 -11,20 1 +12 98,19815 46,31943 26,05 28,99 32,61 36,05 38,88 38,83 37,76 34,91 2 47,20 41,98 1 +13 98,91189 47,03318 39,37 39,34 39,91 39,88 39,71 38,89 37,64 34,72 1 5,42 2,12 1 +14 99,15435 47,27564 39,34 39,32 39,89 39,86 39,69 38,87 37,62 34,69 1 -0,14 2,15 1 +15 99,15820 47,27948 37,53 37,97 37,31 34,37 31,94 29,73 27,63 24,12 2 4,76 -18,33 1 +16 99,24567 47,36696 25,14 28,05 28,93 27,03 24,71 23,63 23,36 19,92 3 57,40 -55,73 1 +17 99,39640 47,51769 37,50 37,94 37,29 34,35 31,93 29,74 27,63 24,11 2 -1,06 -17,93 1 +18 99,80907 47,93036 38,58 38,54 39,44 39,47 39,15 38,15 36,75 33,61 2 5,38 -2,90 1 +19 99,93516 48,05645 35,43 36,96 36,79 33,91 31,59 29,56 27,34 23,66 3 5,04 -13,32 1 +20 100,04936 48,17065 38,56 38,52 39,42 39,45 39,13 38,12 36,72 33,58 2 -0,14 -2,85 1 +21 100,17151 48,29280 35,03 36,57 36,77 33,89 31,56 29,54 27,33 23,65 3 -0,59 -12,95 1 +22 104,59125 52,71254 36,04 36,47 36,41 33,47 30,92 28,07 25,42 21,57 3 15,59 -18,68 1 +23 116,73572 64,85701 36,31 36,25 37,19 37,68 37,33 36,60 35,25 31,70 3 -37,39 44,37 1 +24 120,87222 68,99351 36,71 36,67 37,28 37,70 37,50 36,94 35,71 32,23 2 -47,92 36,98 1 +25 121,76455 69,88584 34,83 34,88 33,08 28,61 24,39 23,02 22,21 18,14 3 -60,55 -42,27 1 +26 122,56002 70,68130 36,48 36,44 37,60 37,58 37,29 35,79 33,85 30,08 2 46,14 1,10 1 +27 122,76316 70,88445 34,64 35,06 34,99 32,07 29,68 26,92 24,08 19,73 3 47,26 -15,71 1 +28 123,28522 71,40651 34,52 35,12 36,46 34,12 36,69 35,08 32,98 29,01 3 45,86 -2,95 1 +29 125,86832 73,98961 35,65 35,60 36,53 37,01 36,66 35,91 34,50 30,69 3 -48,29 40,30 1 +30 127,74552 75,86681 -3,66 2,24 8,71 15,23 20,81 26,02 30,76 30,63 3 4,20 26,89 1 +31 130,47342 78,59471 -0,29 5,60 12,08 18,60 24,17 29,38 33,13 30,34 3 3,97 34,35 1 +32 139,76075 87,88203 35,34 35,30 36,45 36,42 36,12 34,59 32,52 28,28 2 -34,07 2,18 1 +33 139,93621 88,05750 33,49 33,91 33,82 30,90 28,56 25,87 22,90 18,08 3 -35,69 -12,26 1 +34 140,39713 88,51842 31,15 31,76 33,08 30,74 33,30 33,89 31,67 27,22 3 -33,88 -1,38 1 +35 144,40542 92,52671 32,78 32,62 29,76 23,98 18,47 18,13 18,50 13,57 3 -74,89 85,36 1 +36 144,71102 92,83230 6,60 9,52 13,56 17,03 19,68 21,27 22,31 20,99 3 -30,80 15,86 1 +37 145,42593 93,54722 33,37 33,72 32,70 29,13 25,60 23,78 22,12 17,39 3 -167,66 32,53 1 +38 167,80381 115,92510 6,43 12,32 20,09 23,27 25,85 26,65 26,87 23,75 3 39,72 2,26 1 +39 182,78134 130,90263 31,98 31,92 33,66 33,63 33,19 30,95 28,05 22,43 3 -26,21 3,13 1 diff --git a/libownaura/lora/Example/Exfiles/Elmia RoundRobin2 detailed.Job02.00001EnergyCurves.Txt b/libownaura/lora/Example/Exfiles/Elmia RoundRobin2 detailed.Job02.00001EnergyCurves.Txt new file mode 100644 index 0000000..7ced062 --- /dev/null +++ b/libownaura/lora/Example/Exfiles/Elmia RoundRobin2 detailed.Job02.00001EnergyCurves.Txt @@ -0,0 +1,1031 @@ +Contents: This file contains 3 curve sets +a)Energy-time histogram. +b)Reverse-integrated decay curve (dB SPL) +c)Reverse-integrated decay curve (dB SPL), corrected for missing energy due to truncation. +d)Energy-time histogram for Sqr(Px),Sqr(Py) and Sqr(Pz) - only if calculated by Odeon 6.1 or later +d1)Hint! The energy-intensity curve can be obtained by the formulae 10*log10(Sqrt(Sqr(Px)+Sqr(Py)+Sqr(Pz) +d2)Note! Sqr(Px),Sqr(Py) and Sqr(Pz) are signed values, the sign is part the directional information + + +a) Energy-time histogram (dB SPL) for job 2 +Receiver Number: 4 middle (x,y,z) = (25,50, -4,90, 27,50) +ms(source) 63 125 250 500 1000 2000 4000 8000 +5,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 +15,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 +25,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 +35,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 +45,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 -9990,00 +55,00 48,18 48,36 47,88 47,08 46,70 46,46 46,00 44,51 +65,00 5,89 17,18 18,17 21,96 23,26 24,14 24,35 22,61 +75,00 46,58 46,59 46,90 46,59 46,51 46,01 45,16 43,03 +85,00 46,45 46,50 46,30 45,80 45,42 44,84 43,94 41,54 +95,00 46,77 47,08 47,44 46,84 46,59 45,98 44,93 42,24 +105,00 42,58 43,05 43,47 42,57 41,56 40,63 39,58 36,67 +115,00 40,67 40,84 41,40 41,05 40,80 40,36 39,35 36,20 +125,00 45,72 45,86 46,59 46,81 46,43 45,80 44,77 41,29 +135,00 42,48 42,61 43,20 43,62 43,18 42,39 41,14 37,11 +145,00 43,33 43,43 43,92 44,38 43,84 42,87 41,65 37,72 +155,00 41,10 41,25 40,34 39,91 39,61 39,48 39,05 34,93 +165,00 39,96 40,28 41,06 42,53 42,21 41,75 40,92 36,53 +175,00 39,17 39,51 40,26 40,43 40,07 39,73 38,96 34,45 +185,00 40,75 41,04 40,81 41,80 41,37 40,94 40,07 35,21 +195,00 40,28 40,68 41,42 42,04 41,38 40,94 40,12 34,94 +205,00 39,78 40,21 40,91 41,00 40,84 40,37 39,16 33,81 +215,00 39,48 39,90 40,48 41,08 40,77 40,40 39,24 33,66 +225,00 42,39 42,89 43,13 41,87 41,15 40,40 39,21 33,25 +235,00 37,63 38,07 38,58 38,93 38,48 37,88 36,69 30,59 +245,00 36,84 37,27 37,98 38,63 38,24 37,59 36,32 29,90 +255,00 38,08 38,56 38,80 38,89 38,40 37,29 36,07 29,47 +265,00 38,84 39,23 39,61 39,09 38,35 38,08 37,25 30,41 +275,00 40,64 41,26 40,06 38,36 37,93 37,66 36,87 29,57 +285,00 36,52 37,31 38,61 39,05 38,81 37,93 36,27 28,88 +295,00 40,63 40,88 40,42 39,97 39,34 38,56 36,89 29,34 +305,00 34,83 35,44 36,28 37,20 36,92 36,14 34,39 26,58 +315,00 35,55 36,11 36,76 36,97 36,55 35,80 34,12 25,90 +325,00 33,89 34,55 35,55 36,43 36,08 35,41 33,64 25,24 +335,00 36,04 36,48 37,39 37,03 36,47 35,73 34,00 25,34 +345,00 33,58 34,29 35,50 36,33 36,00 35,13 33,06 24,28 +355,00 33,59 34,59 35,63 37,26 36,99 36,57 34,88 25,86 +365,00 39,12 40,09 37,32 35,93 35,19 34,47 33,12 23,56 +375,00 32,96 33,73 34,56 35,05 34,67 33,72 31,58 21,94 +385,00 32,23 33,15 34,33 35,10 34,79 33,77 31,41 21,46 +395,00 31,49 32,25 34,00 35,32 34,87 33,79 31,47 21,24 +405,00 31,56 32,63 33,78 34,08 33,68 32,71 30,45 19,92 +415,00 33,47 34,30 34,31 34,40 33,94 32,91 30,75 20,07 +425,00 30,97 31,89 33,28 33,91 33,56 32,47 29,99 19,05 +435,00 30,29 31,18 32,95 34,13 33,76 32,62 29,99 18,78 +445,00 30,58 31,45 32,55 33,87 33,46 32,41 29,82 18,46 +455,00 30,19 31,05 33,08 34,56 34,04 33,05 30,18 18,32 +465,00 31,52 32,35 33,01 33,17 32,70 31,61 28,92 16,93 +475,00 35,92 36,89 35,64 40,80 40,27 39,51 36,80 24,72 +485,00 29,63 30,56 32,16 32,90 32,43 31,47 28,82 16,49 +495,00 28,03 29,10 30,85 31,40 31,01 29,84 27,09 14,46 +505,00 34,76 34,94 37,29 34,71 33,28 31,77 28,77 15,69 +515,00 29,40 30,56 32,82 34,41 33,97 32,77 29,53 16,42 +525,00 29,60 30,64 32,35 33,37 32,77 31,19 27,73 14,17 +535,00 27,29 28,46 30,29 30,65 30,34 29,04 25,74 11,92 +545,00 31,89 32,63 31,48 30,06 29,48 28,67 26,04 12,06 +555,00 26,13 27,35 29,68 31,20 31,03 29,80 26,20 11,84 +565,00 28,46 29,66 32,32 30,93 30,15 28,84 25,44 10,99 +575,00 27,86 28,86 31,25 31,71 31,10 29,71 26,11 11,22 +585,00 25,45 26,89 28,03 29,97 29,37 28,10 24,70 9,53 +595,00 25,15 26,52 27,50 28,98 27,87 26,79 23,76 8,40 +605,00 24,72 26,06 28,49 29,67 28,82 27,53 24,41 8,68 +615,00 24,32 25,68 27,31 28,05 27,79 26,31 22,50 6,65 +625,00 24,33 25,93 28,17 29,22 29,04 27,74 23,85 7,65 +635,00 29,65 29,77 29,11 28,18 27,65 26,06 22,35 6,02 +645,00 22,05 23,49 25,77 28,25 28,13 26,54 22,43 6,05 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-3,19 -9,27 -54,56 +1735,00 -17,26 -13,85 -6,33 -1,45 -1,39 -5,57 -16,83 -61,31 +1745,00 -19,41 -11,05 -9,09 -2,90 -2,46 -8,41 -19,64 -64,42 +1755,00 -15,03 -11,72 -5,66 -0,90 0,12 -4,63 -16,75 -61,56 +1765,00 -18,68 -13,90 -6,77 -1,74 -2,03 -5,48 -16,38 -61,62 +1775,00 -19,51 -15,21 -10,05 -4,61 -4,33 -7,33 -18,79 -63,81 +1785,00 -12,85 -7,42 -1,10 -2,58 -3,96 -7,77 -17,78 -63,13 +1795,00 -20,35 -16,00 -10,82 -4,98 -4,62 -8,09 -19,79 -65,74 +1805,00 -21,52 -12,89 -7,25 -3,84 -3,15 -7,80 -19,00 -65,04 +1815,00 -19,29 -15,91 -8,56 -2,86 -2,66 -5,48 -16,81 -63,69 +1825,00 -20,06 -16,01 -10,38 -3,04 -0,74 -5,18 -18,06 -64,34 +1835,00 -23,43 -18,20 -13,20 -8,17 -8,36 -11,09 -21,08 -67,56 +1845,00 -23,06 -18,79 -12,59 -6,63 -7,30 -9,77 -21,04 -67,89 +1855,00 -24,45 -18,92 -13,46 -9,44 -10,50 -12,73 -23,00 -68,19 +1865,00 -15,15 -13,67 -11,82 -4,98 -4,09 -7,93 -20,12 -67,95 +1875,00 -22,95 -18,37 -13,63 -6,71 -5,98 -10,50 -22,80 -71,00 +1885,00 -20,25 -15,55 -7,01 -1,32 -2,00 -6,07 -18,41 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-28,87 -22,64 -22,31 -29,74 -43,53 -103,64 +2365,00 -39,77 -34,78 -28,59 -19,41 -17,89 -24,65 -41,29 -101,83 +2375,00 -43,67 -36,29 -30,15 -23,92 -23,43 -30,22 -43,42 -104,90 +2385,00 -40,81 -36,13 -32,04 -26,17 -25,38 -29,23 -43,54 -104,38 +2395,00 -43,53 -37,77 -26,51 -20,36 -20,58 -25,12 -41,39 -102,33 +2405,00 -44,82 -38,48 -29,68 -22,72 -23,37 -28,72 -42,72 -103,68 +2415,00 -40,76 -35,56 -28,09 -20,14 -18,91 -26,30 -41,63 -103,01 +2425,00 -44,49 -38,12 -27,61 -17,59 -17,18 -25,05 -40,95 -102,94 +2435,00 -45,72 -39,53 -34,17 -31,04 -33,82 -36,20 -46,61 -108,87 +2445,00 -41,49 -35,16 -25,57 -20,73 -22,75 -26,07 -40,94 -102,21 +2455,00 -48,60 -40,62 -33,47 -28,62 -34,19 -36,26 -47,59 -110,54 +2465,00 -43,91 -38,55 -26,05 -17,47 -16,19 -26,00 -44,14 -105,43 +2475,00 -37,62 -32,19 -31,77 -28,50 -32,17 -34,60 -46,48 -110,07 +2485,00 -49,17 -41,70 -31,71 -23,68 -23,95 -28,18 -44,76 -105,20 +2495,00 -48,77 -41,78 -30,86 -21,35 -21,22 -28,43 -45,30 -109,66 +2505,00 -48,45 -42,12 -33,44 -30,57 -34,12 -36,79 -48,79 -113,36 + +b) Reverse-integrated decay curve (dB SPL) for job 2 +Receiver Number: 4 middle (x,y,z) = (25,50, -4,90, 27,50) +ms(source) 63 125 250 500 1000 2000 4000 8000 +5,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +15,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +25,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +35,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +45,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +55,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +65,00 56,49 56,82 57,19 57,26 56,86 56,19 54,95 50,75 +75,00 56,49 56,82 57,19 57,26 56,86 56,19 54,95 50,75 +85,00 56,02 56,39 56,77 56,87 56,44 55,75 54,46 49,94 +95,00 55,51 55,92 56,36 56,52 56,08 55,38 54,06 49,26 +105,00 54,89 55,31 55,76 56,03 55,56 54,85 53,50 48,30 +115,00 54,62 55,04 55,50 55,83 55,39 54,69 53,31 47,99 +125,00 54,44 54,87 55,33 55,68 55,23 54,52 53,14 47,70 +135,00 53,82 54,29 54,70 55,08 54,62 53,90 52,45 46,57 +145,00 53,49 53,99 54,38 54,75 54,29 53,58 52,12 46,04 +155,00 53,05 53,59 53,98 54,34 53,89 53,19 51,71 45,35 +165,00 52,76 53,33 53,78 54,18 53,72 53,00 51,47 44,94 +175,00 52,53 53,10 53,55 53,87 53,40 52,66 51,07 44,26 +185,00 52,32 52,91 53,34 53,67 53,20 52,44 50,79 43,79 +195,00 52,01 52,62 53,09 53,38 52,90 52,12 50,41 43,14 +205,00 51,70 52,33 52,78 53,04 52,58 51,77 49,98 42,42 +215,00 51,42 52,06 52,49 52,76 52,28 51,45 49,61 41,78 +225,00 51,13 51,78 52,21 52,46 51,96 51,09 49,19 41,05 +235,00 50,50 51,18 51,63 52,06 51,59 50,71 48,73 40,27 +245,00 50,27 50,96 51,41 51,85 51,37 50,47 48,45 39,77 +255,00 50,07 50,78 51,21 51,63 51,15 50,24 48,17 39,30 +265,00 49,79 50,51 50,95 51,40 50,92 50,02 47,90 38,82 +275,00 49,43 50,17 50,62 51,13 50,67 49,73 47,50 38,15 +285,00 48,81 49,57 50,22 50,90 50,43 49,45 47,11 37,50 +295,00 48,55 49,31 49,91 50,60 50,12 49,14 46,74 36,85 +305,00 47,78 48,63 49,39 50,21 49,74 48,74 46,26 36,01 +315,00 47,55 48,42 49,18 49,99 49,51 48,49 45,97 35,48 +325,00 47,27 48,16 48,92 49,77 49,29 48,25 45,68 34,97 +335,00 47,07 47,96 48,72 49,56 49,07 48,02 45,40 34,48 +345,00 46,71 47,64 48,38 49,31 48,83 47,76 45,07 33,92 +355,00 46,49 47,44 48,15 49,08 48,60 47,51 44,79 33,42 +365,00 46,27 47,21 47,90 48,79 48,29 47,15 44,32 32,58 +375,00 45,34 46,27 47,51 48,56 48,07 46,91 43,98 32,00 +385,00 45,08 46,02 47,28 48,36 47,86 46,69 43,72 31,55 +395,00 44,85 45,79 47,05 48,15 47,64 46,47 43,46 31,10 +405,00 44,64 45,59 46,83 47,92 47,41 46,23 43,18 30,63 +415,00 44,42 45,37 46,61 47,74 47,22 46,03 42,94 30,25 +425,00 44,06 45,01 46,35 47,53 47,01 45,81 42,67 29,81 +435,00 43,84 44,80 46,13 47,34 46,81 45,60 42,43 29,43 +445,00 43,64 44,60 45,92 47,12 46,59 45,38 42,17 29,04 +455,00 43,42 44,39 45,71 46,91 46,37 45,16 41,91 28,64 +465,00 43,21 44,18 45,47 46,65 46,11 44,88 41,61 28,21 +475,00 42,91 43,89 45,21 46,45 45,91 44,67 41,37 27,88 +485,00 41,94 42,92 44,70 45,08 44,53 43,09 39,50 25,01 +495,00 41,67 42,66 44,46 44,80 44,25 42,78 39,12 24,35 +505,00 41,48 42,46 44,26 44,60 44,04 42,55 38,83 23,88 +515,00 40,44 41,62 43,29 44,13 43,66 42,18 38,38 23,16 +525,00 40,09 41,26 42,88 43,64 43,17 41,65 37,78 22,13 +535,00 39,68 40,87 42,48 43,21 42,75 41,24 37,33 21,38 +545,00 39,42 40,61 42,21 42,97 42,49 40,97 37,01 20,85 +555,00 38,58 39,86 41,82 42,74 42,27 40,70 36,65 20,24 +565,00 38,32 39,61 41,55 42,42 41,93 40,33 36,24 19,56 +575,00 37,85 39,15 41,00 42,10 41,63 40,02 35,86 18,91 +585,00 37,39 38,72 40,51 41,68 41,23 39,59 35,38 18,10 +595,00 37,10 38,43 40,26 41,38 40,94 39,27 34,99 17,45 +605,00 36,82 38,14 40,02 41,12 40,72 39,02 34,65 16,87 +615,00 36,54 37,86 39,70 40,80 40,43 38,70 34,22 16,16 +625,00 36,27 37,59 39,45 40,57 40,18 38,44 33,92 15,64 +635,00 35,98 37,28 39,11 40,24 39,84 38,05 33,46 14,89 +645,00 34,83 36,43 38,65 39,96 39,57 37,77 33,12 14,29 +655,00 34,60 36,21 38,42 39,65 39,24 37,43 32,73 13,58 +665,00 34,31 35,93 38,17 39,40 38,99 37,16 32,40 12,99 +675,00 34,08 35,71 37,98 39,19 38,78 36,94 32,13 12,52 +685,00 33,67 35,34 37,50 38,83 38,41 36,57 31,71 11,80 +695,00 33,41 35,03 37,20 38,55 38,14 36,28 31,36 11,19 +705,00 33,17 34,76 36,98 38,32 37,92 36,03 31,04 10,62 +715,00 32,96 34,53 36,76 38,11 37,69 35,77 30,76 10,12 +725,00 32,65 34,25 36,51 37,87 37,44 35,50 30,44 9,56 +735,00 31,88 33,62 36,18 37,60 37,17 35,20 30,03 8,87 +745,00 31,65 33,40 35,97 37,36 36,93 34,94 29,73 8,34 +755,00 31,34 33,09 35,69 37,02 36,55 34,57 29,34 7,68 +765,00 31,14 32,88 35,50 36,82 36,35 34,34 29,05 7,17 +775,00 30,53 32,40 34,97 36,48 36,06 34,00 28,54 6,27 +785,00 30,33 32,20 34,74 36,26 35,81 33,75 28,26 5,77 +795,00 29,91 31,75 34,49 36,04 35,60 33,52 27,95 5,24 +805,00 29,69 31,54 34,30 35,85 35,40 33,31 27,69 4,76 +815,00 29,44 31,29 34,03 35,55 35,09 33,00 27,35 4,19 +825,00 28,63 30,70 33,13 34,88 34,52 32,46 26,80 3,29 +835,00 28,22 30,30 32,86 34,60 34,20 32,14 26,46 2,68 +845,00 27,98 30,08 32,61 34,28 33,90 31,84 26,09 2,04 +855,00 27,73 29,82 32,34 34,00 33,61 31,55 25,76 1,44 +865,00 27,17 29,31 31,88 33,78 33,42 31,34 25,49 0,97 +875,00 26,89 29,06 31,60 33,51 33,15 31,07 25,18 0,41 +885,00 26,62 28,81 31,28 33,22 32,85 30,79 24,86 -0,18 +895,00 26,41 28,60 31,03 32,98 32,60 30,54 24,59 -0,65 +905,00 26,21 28,42 30,79 32,73 32,35 30,27 24,28 -1,20 +915,00 24,99 27,36 30,23 32,41 32,06 29,98 23,92 -1,82 +925,00 24,70 27,10 30,00 32,14 31,83 29,71 23,55 -2,46 +935,00 24,44 26,85 29,71 31,85 31,51 29,41 23,24 -2,99 +945,00 24,19 26,62 29,49 31,66 31,34 29,22 23,03 -3,35 +955,00 23,89 26,36 29,23 31,44 31,12 28,98 22,74 -3,83 +965,00 23,25 25,78 28,78 31,17 30,88 28,69 22,21 -4,69 +975,00 22,94 25,52 28,47 30,89 30,58 28,39 21,86 -5,31 +985,00 22,00 24,57 28,00 30,58 30,27 28,04 21,44 -6,04 +995,00 21,76 24,34 27,77 30,33 30,01 27,76 21,13 -6,60 +1005,00 21,25 23,92 27,29 29,98 29,74 27,38 20,42 -7,75 +1015,00 20,96 23,61 27,00 29,67 29,41 27,07 20,09 -8,34 +1025,00 20,64 23,21 26,64 29,41 29,16 26,80 19,76 -8,91 +1035,00 20,38 22,92 26,35 29,16 28,90 26,55 19,48 -9,42 +1045,00 20,15 22,70 26,11 28,96 28,72 26,36 19,23 -9,86 +1055,00 19,89 22,43 25,81 28,66 28,42 26,06 18,86 -10,53 +1065,00 19,61 22,17 25,53 28,40 28,15 25,79 18,55 -11,08 +1075,00 19,34 21,91 25,25 28,13 27,84 25,48 18,24 -11,62 +1085,00 19,11 21,68 25,00 27,93 27,66 25,29 17,99 -12,08 +1095,00 18,90 21,49 24,75 27,69 27,38 25,01 17,71 -12,57 +1105,00 18,68 21,25 24,52 27,48 27,17 24,74 17,37 -13,16 +1115,00 18,43 21,03 24,28 27,27 26,96 24,53 17,12 -13,60 +1125,00 17,85 20,56 23,97 27,03 26,71 24,28 16,83 -14,09 +1135,00 17,29 20,12 23,71 26,74 26,41 23,95 16,44 -14,80 +1145,00 16,76 19,69 23,43 26,52 26,21 23,74 16,19 -15,30 +1155,00 16,42 19,36 23,04 26,17 25,86 23,40 15,70 -16,10 +1165,00 16,21 19,07 22,77 25,95 25,63 23,13 15,22 -16,86 +1175,00 15,93 18,75 22,45 25,61 25,26 22,79 14,89 -17,40 +1185,00 15,43 18,33 21,93 25,13 24,78 22,29 14,34 -18,35 +1195,00 15,25 18,15 21,74 24,95 24,60 22,10 14,12 -18,73 +1205,00 15,03 17,94 21,53 24,81 24,46 21,94 13,91 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15,46 19,62 19,70 16,52 6,97 -30,55 +1395,00 6,81 10,55 15,28 19,40 19,46 16,20 6,56 -31,27 +1405,00 6,53 10,29 14,99 19,13 19,15 15,93 6,25 -31,79 +1415,00 6,30 10,08 14,74 18,90 18,89 15,65 5,91 -32,35 +1425,00 5,89 9,80 14,31 18,43 18,35 15,20 5,52 -33,03 +1435,00 5,59 9,56 14,04 18,17 18,08 14,87 5,13 -33,75 +1445,00 5,20 9,16 13,50 17,89 17,81 14,63 4,84 -34,26 +1455,00 4,68 8,68 13,14 17,03 16,94 13,81 4,10 -35,62 +1465,00 4,44 8,33 12,91 16,86 16,79 13,62 3,83 -36,14 +1475,00 4,17 8,10 12,65 16,61 16,53 13,30 3,46 -36,80 +1485,00 3,85 7,84 12,36 16,26 16,15 12,96 3,11 -37,42 +1495,00 3,58 7,56 12,14 16,13 16,03 12,80 2,91 -37,79 +1505,00 3,30 7,34 11,93 15,87 15,70 12,43 2,58 -38,37 +1515,00 3,02 7,10 11,73 15,72 15,55 12,28 2,33 -38,82 +1525,00 2,78 6,91 11,53 15,54 15,38 12,08 2,08 -39,28 +1535,00 2,59 6,75 11,31 15,30 15,14 11,80 1,76 -39,87 +1545,00 2,42 6,55 11,16 15,12 14,94 11,58 1,53 -40,40 +1555,00 2,23 6,36 10,99 14,93 14,72 11,34 1,27 -40,88 +1565,00 1,96 6,06 10,71 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-18,40 -33,91 -95,74 +2425,00 -33,97 -27,97 -19,81 -12,23 -12,09 -19,17 -34,72 -96,64 +2435,00 -34,38 -28,41 -20,60 -13,72 -13,69 -20,47 -35,90 -97,80 +2445,00 -34,71 -28,76 -20,80 -13,80 -13,73 -20,59 -36,29 -98,15 +2455,00 -35,73 -29,89 -22,56 -14,79 -14,32 -22,03 -38,11 -100,32 +2465,00 -35,96 -30,27 -22,93 -14,97 -14,36 -22,20 -38,63 -100,75 +2475,00 -36,72 -30,97 -25,83 -18,57 -19,01 -24,55 -40,06 -102,56 +2485,00 -44,02 -37,10 -27,10 -19,03 -19,22 -25,00 -41,18 -103,41 +2495,00 -45,60 -38,94 -28,95 -20,86 -21,01 -27,84 -43,69 -108,12 +2505,00 -48,45 -42,12 -33,44 -30,57 -34,12 -36,79 -48,79 -113,36 + +c) Reverse-integrated decay curve (dB SPL), corrected for missing energy for job 2 +Receiver Number: 4 middle (x,y,z) = (25,50, -4,90, 27,50) +ms(source) 63 125 250 500 1000 2000 4000 8000 +5,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +15,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +25,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +35,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +45,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +55,00 57,08 57,40 57,68 57,66 57,26 56,63 55,47 51,68 +65,00 56,49 56,82 57,19 57,26 56,86 56,19 54,95 50,75 +75,00 56,49 56,82 57,19 57,26 56,86 56,19 54,95 50,75 +85,00 56,02 56,39 56,77 56,87 56,44 55,75 54,46 49,94 +95,00 55,51 55,92 56,36 56,52 56,08 55,38 54,06 49,26 +105,00 54,89 55,31 55,76 56,03 55,56 54,85 53,50 48,30 +115,00 54,62 55,04 55,50 55,83 55,39 54,69 53,31 47,99 +125,00 54,44 54,87 55,33 55,68 55,23 54,52 53,14 47,70 +135,00 53,82 54,29 54,70 55,08 54,62 53,90 52,45 46,57 +145,00 53,49 53,99 54,38 54,75 54,29 53,58 52,12 46,04 +155,00 53,05 53,59 53,98 54,34 53,89 53,19 51,71 45,35 +165,00 52,76 53,33 53,78 54,18 53,72 53,00 51,47 44,94 +175,00 52,53 53,10 53,55 53,87 53,40 52,66 51,07 44,26 +185,00 52,32 52,91 53,34 53,67 53,20 52,44 50,79 43,79 +195,00 52,01 52,62 53,09 53,38 52,90 52,12 50,41 43,14 +205,00 51,70 52,33 52,78 53,04 52,58 51,77 49,98 42,42 +215,00 51,42 52,06 52,49 52,76 52,28 51,45 49,61 41,78 +225,00 51,13 51,78 52,21 52,46 51,96 51,09 49,19 41,05 +235,00 50,50 51,18 51,63 52,06 51,59 50,71 48,73 40,27 +245,00 50,27 50,96 51,41 51,85 51,37 50,47 48,45 39,77 +255,00 50,07 50,78 51,21 51,63 51,15 50,24 48,17 39,30 +265,00 49,79 50,51 50,95 51,40 50,92 50,02 47,90 38,82 +275,00 49,43 50,17 50,62 51,13 50,67 49,73 47,50 38,15 +285,00 48,81 49,57 50,22 50,90 50,43 49,45 47,11 37,50 +295,00 48,55 49,31 49,91 50,60 50,12 49,14 46,74 36,85 +305,00 47,78 48,63 49,39 50,21 49,74 48,74 46,26 36,01 +315,00 47,55 48,42 49,18 49,99 49,51 48,49 45,97 35,48 +325,00 47,27 48,16 48,92 49,77 49,29 48,25 45,68 34,97 +335,00 47,07 47,96 48,72 49,56 49,07 48,02 45,40 34,48 +345,00 46,71 47,64 48,38 49,31 48,83 47,76 45,07 33,92 +355,00 46,49 47,44 48,15 49,08 48,60 47,51 44,79 33,42 +365,00 46,27 47,21 47,90 48,79 48,29 47,15 44,32 32,58 +375,00 45,34 46,27 47,51 48,56 48,07 46,91 43,98 32,00 +385,00 45,08 46,02 47,28 48,36 47,86 46,69 43,72 31,55 +395,00 44,85 45,79 47,05 48,15 47,64 46,47 43,46 31,10 +405,00 44,64 45,59 46,83 47,92 47,41 46,23 43,18 30,63 +415,00 44,42 45,37 46,61 47,74 47,22 46,03 42,94 30,25 +425,00 44,06 45,01 46,35 47,53 47,01 45,81 42,67 29,81 +435,00 43,84 44,80 46,13 47,34 46,81 45,60 42,43 29,43 +445,00 43,64 44,60 45,92 47,12 46,59 45,38 42,17 29,04 +455,00 43,42 44,39 45,71 46,91 46,37 45,16 41,91 28,64 +465,00 43,21 44,18 45,47 46,65 46,11 44,88 41,61 28,21 +475,00 42,91 43,89 45,21 46,45 45,91 44,67 41,37 27,88 +485,00 41,94 42,92 44,70 45,08 44,53 43,09 39,50 25,01 +495,00 41,67 42,66 44,46 44,80 44,25 42,78 39,12 24,35 +505,00 41,48 42,46 44,26 44,60 44,04 42,55 38,83 23,88 +515,00 40,44 41,62 43,29 44,13 43,66 42,18 38,38 23,16 +525,00 40,09 41,26 42,88 43,64 43,17 41,65 37,78 22,13 +535,00 39,68 40,87 42,48 43,21 42,75 41,24 37,33 21,38 +545,00 39,42 40,61 42,21 42,97 42,49 40,97 37,01 20,85 +555,00 38,58 39,86 41,82 42,74 42,27 40,70 36,65 20,24 +565,00 38,32 39,61 41,55 42,42 41,93 40,33 36,24 19,56 +575,00 37,85 39,15 41,00 42,10 41,63 40,02 35,86 18,91 +585,00 37,39 38,72 40,51 41,69 41,23 39,59 35,38 18,10 +595,00 37,10 38,43 40,26 41,38 40,94 39,27 34,99 17,45 +605,00 36,82 38,14 40,02 41,12 40,72 39,02 34,65 16,87 +615,00 36,54 37,86 39,70 40,80 40,43 38,70 34,22 16,16 +625,00 36,27 37,59 39,45 40,57 40,18 38,44 33,92 15,64 +635,00 35,98 37,28 39,11 40,24 39,84 38,05 33,46 14,89 +645,00 34,83 36,43 38,65 39,96 39,57 37,77 33,12 14,29 +655,00 34,60 36,21 38,42 39,65 39,24 37,43 32,73 13,58 +665,00 34,31 35,93 38,17 39,40 38,99 37,16 32,40 12,99 +675,00 34,08 35,71 37,98 39,19 38,78 36,94 32,13 12,52 +685,00 33,67 35,34 37,50 38,83 38,41 36,57 31,71 11,80 +695,00 33,41 35,03 37,20 38,55 38,14 36,28 31,36 11,19 +705,00 33,17 34,76 36,98 38,32 37,92 36,03 31,04 10,62 +715,00 32,96 34,53 36,76 38,11 37,69 35,77 30,76 10,12 +725,00 32,65 34,25 36,51 37,87 37,44 35,50 30,44 9,56 +735,00 31,88 33,62 36,18 37,60 37,17 35,20 30,03 8,87 +745,00 31,65 33,40 35,97 37,36 36,93 34,94 29,73 8,34 +755,00 31,34 33,09 35,69 37,02 36,55 34,57 29,34 7,68 +765,00 31,14 32,88 35,50 36,82 36,35 34,34 29,05 7,17 +775,00 30,53 32,40 34,97 36,48 36,06 34,00 28,54 6,27 +785,00 30,33 32,20 34,74 36,26 35,81 33,75 28,26 5,77 +795,00 29,91 31,75 34,49 36,04 35,60 33,52 27,95 5,24 +805,00 29,69 31,54 34,30 35,85 35,40 33,31 27,69 4,76 +815,00 29,44 31,29 34,03 35,55 35,09 33,00 27,35 4,19 +825,00 28,63 30,70 33,13 34,88 34,52 32,46 26,80 3,29 +835,00 28,22 30,30 32,86 34,60 34,20 32,14 26,46 2,68 +845,00 27,98 30,08 32,61 34,28 33,90 31,84 26,09 2,04 +855,00 27,73 29,82 32,34 34,00 33,61 31,55 25,76 1,44 +865,00 27,17 29,31 31,88 33,78 33,42 31,34 25,49 0,97 +875,00 26,89 29,06 31,60 33,51 33,15 31,07 25,18 0,41 +885,00 26,62 28,81 31,28 33,22 32,85 30,79 24,86 -0,18 +895,00 26,41 28,60 31,03 32,98 32,60 30,54 24,59 -0,65 +905,00 26,21 28,42 30,79 32,73 32,35 30,27 24,28 -1,20 +915,00 24,99 27,36 30,23 32,41 32,06 29,98 23,92 -1,82 +925,00 24,70 27,10 30,00 32,14 31,83 29,71 23,55 -2,46 +935,00 24,44 26,85 29,71 31,85 31,51 29,41 23,24 -2,99 +945,00 24,19 26,62 29,49 31,66 31,34 29,22 23,03 -3,35 +955,00 23,89 26,36 29,23 31,44 31,12 28,98 22,74 -3,83 +965,00 23,25 25,78 28,79 31,17 30,88 28,69 22,21 -4,69 +975,00 22,94 25,52 28,47 30,89 30,58 28,39 21,86 -5,31 +985,00 22,00 24,57 28,00 30,58 30,27 28,04 21,44 -6,04 +995,00 21,76 24,34 27,77 30,33 30,01 27,76 21,13 -6,60 +1005,00 21,25 23,92 27,29 29,98 29,74 27,38 20,42 -7,75 +1015,00 20,96 23,61 27,00 29,67 29,41 27,07 20,09 -8,34 +1025,00 20,64 23,21 26,64 29,41 29,16 26,80 19,76 -8,91 +1035,00 20,38 22,92 26,35 29,16 28,90 26,55 19,48 -9,42 +1045,00 20,15 22,70 26,11 28,96 28,72 26,36 19,23 -9,86 +1055,00 19,89 22,43 25,81 28,66 28,42 26,06 18,86 -10,53 +1065,00 19,61 22,17 25,53 28,40 28,15 25,79 18,55 -11,08 +1075,00 19,34 21,91 25,25 28,13 27,84 25,48 18,24 -11,62 +1085,00 19,11 21,68 25,00 27,94 27,66 25,29 17,99 -12,08 +1095,00 18,90 21,49 24,75 27,69 27,38 25,01 17,71 -12,57 +1105,00 18,68 21,25 24,52 27,48 27,17 24,74 17,37 -13,16 +1115,00 18,43 21,03 24,28 27,27 26,96 24,53 17,12 -13,60 +1125,00 17,85 20,56 23,97 27,03 26,71 24,28 16,83 -14,09 +1135,00 17,29 20,12 23,71 26,74 26,42 23,95 16,44 -14,80 +1145,00 16,76 19,69 23,43 26,52 26,21 23,74 16,19 -15,30 +1155,00 16,42 19,36 23,04 26,17 25,86 23,40 15,70 -16,10 +1165,00 16,21 19,07 22,77 25,95 25,63 23,13 15,22 -16,86 +1175,00 15,93 18,75 22,45 25,61 25,27 22,79 14,89 -17,40 +1185,00 15,43 18,33 21,93 25,13 24,78 22,29 14,34 -18,35 +1195,00 15,25 18,15 21,74 24,95 24,60 22,10 14,12 -18,73 +1205,00 15,03 17,94 21,53 24,81 24,46 21,94 13,91 -19,11 +1215,00 14,59 17,44 21,21 24,53 24,19 21,65 13,59 -19,68 +1225,00 14,40 17,18 21,03 24,38 24,04 21,47 13,37 -20,04 +1235,00 14,22 17,00 20,80 24,11 23,73 21,20 13,10 -20,49 +1245,00 13,84 16,66 20,59 23,96 23,58 21,04 12,88 -20,83 +1255,00 12,85 15,79 19,41 23,08 22,85 20,06 11,66 -22,58 +1265,00 12,61 15,55 19,17 22,90 22,67 19,85 11,38 -23,09 +1275,00 12,46 15,37 18,97 22,73 22,48 19,64 11,09 -23,55 +1285,00 12,20 15,07 18,65 22,52 22,25 19,41 10,80 -24,01 +1295,00 11,69 14,69 18,27 22,29 22,01 19,14 10,48 -24,51 +1305,00 11,53 14,54 18,09 22,17 21,89 18,99 10,28 -24,84 +1315,00 11,34 14,36 17,81 21,51 21,53 18,51 9,56 -26,16 +1325,00 9,71 13,35 17,58 21,36 21,37 18,30 9,29 -26,64 +1335,00 8,89 12,71 17,16 21,08 21,10 17,99 8,88 -27,31 +1345,00 8,68 12,37 16,75 20,75 20,77 17,62 8,43 -28,11 +1355,00 8,19 11,91 16,35 20,40 20,40 17,30 8,11 -28,65 +1365,00 7,54 11,24 15,92 20,18 20,20 17,10 7,85 -29,06 +1375,00 7,28 11,01 15,66 19,94 19,96 16,86 7,54 -29,57 +1385,00 7,06 10,81 15,46 19,63 19,71 16,52 6,97 -30,55 +1395,00 6,81 10,55 15,29 19,41 19,47 16,20 6,56 -31,27 +1405,00 6,53 10,30 14,99 19,14 19,16 15,93 6,25 -31,79 +1415,00 6,30 10,08 14,74 18,91 18,90 15,65 5,91 -32,35 +1425,00 5,89 9,80 14,31 18,44 18,36 15,20 5,52 -33,03 +1435,00 5,59 9,56 14,04 18,18 18,09 14,88 5,13 -33,75 +1445,00 5,20 9,16 13,51 17,90 17,82 14,63 4,84 -34,26 +1455,00 4,68 8,68 13,15 17,04 16,95 13,81 4,10 -35,62 +1465,00 4,44 8,33 12,91 16,87 16,81 13,63 3,83 -36,14 +1475,00 4,17 8,10 12,65 16,62 16,55 13,31 3,46 -36,80 +1485,00 3,85 7,84 12,36 16,28 16,17 12,97 3,12 -37,42 +1495,00 3,58 7,56 12,15 16,15 16,05 12,81 2,91 -37,79 +1505,00 3,30 7,34 11,94 15,88 15,72 12,44 2,58 -38,37 +1515,00 3,02 7,10 11,74 15,74 15,57 12,29 2,33 -38,82 +1525,00 2,79 6,92 11,54 15,56 15,41 12,09 2,09 -39,28 +1535,00 2,59 6,75 11,32 15,32 15,17 11,81 1,77 -39,87 +1545,00 2,42 6,55 11,16 15,14 14,96 11,59 1,53 -40,40 +1555,00 2,23 6,37 10,99 14,95 14,74 11,36 1,27 -40,88 +1565,00 1,96 6,06 10,72 14,64 14,37 10,95 0,84 -41,67 +1575,00 1,63 5,72 10,41 14,46 14,22 10,77 0,57 -42,18 +1585,00 1,38 5,49 10,07 14,23 13,98 10,52 0,29 -42,65 +1595,00 1,07 5,24 9,78 13,80 13,46 10,02 -0,19 -43,52 +1605,00 0,88 5,01 9,65 13,69 13,35 9,92 -0,33 -43,75 +1615,00 0,53 4,77 9,34 13,21 12,88 9,30 -0,90 -44,78 +1625,00 0,04 4,16 8,90 13,08 12,81 9,20 -1,08 -45,11 +1635,00 -0,16 3,99 8,67 12,87 12,61 8,94 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-26,29 -17,45 -8,09 -7,24 -14,05 -31,13 -96,23 +2495,00 -32,66 -26,42 -17,61 -8,22 -7,34 -14,22 -31,32 -96,81 +2505,00 -32,77 -26,54 -17,82 -8,43 -7,52 -14,39 -31,50 -97,05 + +d) Energy-time histogram for Sqr(Px),Sqr(Py) and Sqr(Pz) for job 2 +d1)Hint! The energy-intensity curve can be obtained by the formulae 10*log10(Sqrt(Sqr(Px)+Sqr(Py)+Sqr(Pz) +d2)Note! Sqr(Px),Sqr(Py) and Sqr(Pz) are signed values, the sign tells the is part the directional information +Receiver Number: 4 middle (x,y,z) = (25,50, -4,90, 27,50) +ms(source) Sqr(Px),63 Sqr(Py),63 Sqr(Pz),63 Sqr(Px),125 Sqr(Py),125 Sqr(Pz),125 Sqr(Px),250 Sqr(Py),250 Sqr(Pz),250 Sqr(Px),500 Sqr(Py),500 Sqr(Pz),500 Sqr(Px),1000 Sqr(Py),1000 Sqr(Pz),1000 Sqr(Px),2000 Sqr(Py),2000 Sqr(Pz),2000 Sqr(Px),4000 Sqr(Py),4000 Sqr(Pz),4000 Sqr(Px),8000 Sqr(Py),8000 Sqr(Pz),8000 +5,00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +15,00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +25,00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +35,00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +45,00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +55,00 64518,87109375 -6141,1416015625 -7398,8212890625 67233,78125 -6422,1259765625 -8147,3359375 60294,171875 -5690,146484375 -6306,755859375 50253,078125 -4620,123046875 -3650,528076171875 46084,24609375 -4175,30615234375 -2607,144775390625 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@@ +______________________________________________________________________ +Active sources +______________________________________________________________________ +Source number 1 +Source type Point +Description Stage +Position (x,y,z) = (8,500, 0,000, 25,500) +Orientation Azimuth = 0,00 Elevation = 0,00 Rotation = 0,00 +Directivity file Omni.SO8 +Delay 0 +Gain 82,00 +Equalisation (63 Hz - 8000 Hz) 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / 0,0 / + +POINT RESPONSE ENERGY PARAMETERS for job 2 +Receiver Number: 4 middle (x,y,z) = (25,50, -4,90, 27,50) +PARAM 63 125 250 500 1000 2000 4000 8000 +EDT 1,68 1,88 1,76 2,26 2,06 2,07 1,56 0,97 +T30 1,62 1,75 1,88 2,09 2,10 1,94 1,62 1,03 +SPL 57,1 57,4 57,7 57,7 57,3 56,6 55,5 51,7 +C80 0,7 0,3 0,1 -0,7 -0,6 -0,4 0,2 3,7 +D50 0,42 0,41 0,38 0,34 0,34 0,35 0,38 0,56 +Ts 116 123 131 145 143 136 118 68 +LF80 0,154 0,154 0,169 0,174 0,169 0,164 0,157 0,142 +SPL(A) 63,2 +LG80* 49,4 +STI 0,48 diff --git 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September 15, 2021) +papersize: a4 +--- + +# Synopsis + +Ownaura is an experimental framework for real-time auralization of speech. A +copy of the `OwnAura` project folder was placed on the department drive at +`O:\act\Projects\OwnAura`. The specific `OwnAura/VR` folder that contains the Unity project was also saved on the VR computer in front of AVIL in `C:\Users\Public\Documents\fmheu - OwnAura`. + +## Description + +The framework consists of several components: + +1. a set of Odeon[^1] room simulations +2. a slightly modified variant of the Lora toolbox[^2]that converts the Odeon + results into FIR filters for Ambisonic auralization +3. a set of Python scripts that + - calibrates the magnitude spectrum of the Lora filters +4. a MAX[^3] patch that + - real-time convolves the input audio stream with the calibrated Lora filters + - records the participants voice stream for later analysis, +5. a Unity VR simulation that + - renders the virtual experiment, + - controls the experiment via keyboard input from the experimenter and + controls the MAX patch via OSC messages + - logs eye tracking data, the dual task completion times, and all other + events + +[^1]: [https://odeon.dk/](https://odeon.dk/) +[^2]: [https://bitbucket.org/hea-dtu/lora/src/master/](https://bitbucket.org/hea-dtu/lora/src/master/) +[^3]: [https://cycling74.com/products/max](https://cycling74.com/products/max) + + +The project makes use of both AVIL computers. The right-hand-side (RHS) computer +runs the MAX patch for real-time convolution and voice recording, and the Python +scripts for response preprocessing. The left-hand-side (LHS) computer runs the +Unity project and is the "command center" during the experiment. Experimental +data is saved on both computers and has to be manually merged. + +The project requires the following equipment: + +- measurement microphone B&K Type 4192 (is part of AVIL and should be found + inside) +- headset microphone DPA 4088 (case is labeled "DPA 4088 ACT") +- mount for the measurement microphone (custom build from Henrik) +- arm for mounting mount to seat (in closet outside of AVIL) +- Vive Pro Eye VR headset (in closet outside of AVIL) + +The project is designed to be manually controlled by the experimenter via +keystrokes in Unity instead of hard-coding a certain order into some script. +This way, the order of the experiment process (rooms, dual task) is completely +flexible. + +## Directory structure + +The project directory `` has the following structure: + +- `/Documentation`: source of this document +- `/libownaura`: Python and Matlab code, includes modified Lora + toolbox +- `/Lora Filters`: running script inside computes Lora filters for + each room in `/Odeon Rooms` +- `/MAX`: [MAX patches](#using-max), most importantly + `convolver.maxpat` +- `/Odeon Rooms`: Odeon room simulations, one folder per room, each + room with a `/AVIL implementation files` folder with simulation + results in form of energy decay and early-reflection files +- `/Piloting`: some notes from Greta +- `/Story Cubes`: scanned images of the cubes +- `/VR`: the [Unity project](#using-unity) +- `/Validation`: manual and scripts for measuring acoustic + parameters with HATS +- `/environment.yml`: for [creating python + environment](#setting-up-a-python-environment-on-rhs-computer) + +**Important**: Do not run the experiment from the original network directory +`O:\act\Projects\OwnAura`. This will be painfully slow. Instead, copy the VR +folder to a location on the LHS machine and the rest to a suitable +`` on the RHS machine. + + +## Special equipment + +There are two special equipment pieces which I put into a basket named "OwnAura" and stored them in my (Franz) office: + +- Headset microphone DPA 4088 + XLR adapter +- measurement-mic-to-avil-arm adapter + +# TLDR + +Quick summary of steps for each session (not including one-time setup like measuring AVIL transfer-functions or computing Lora filters from Odeon). + +Before test subject arrives: + +1. Set up equipment: + - turn on DSP and Amplifiers + - turn on Nexus pre-amplififer (check gain for channel 2 is 3.16 V/Pa) + - connect headset and VR goggles +2. On right hand side computer + - in _Red PCIe Card settings_ set buffer size to 32 + - in _BiampCanvas_ turn FIR filter and Delay OFF + - in _Anacoda Powershell Prompt_: + - make test subject folder and sub-directories: + + ``` + mkdir /filters /recordings + ``` + + - change current directory to test subject folder + + ``` + cd + ``` + + - activate python environment: + + ``` + conda activate ownaura + ``` + + - start `convolver.maxpat` +3. On left hand side computer open Unity project and in there + - set test subject name under _Scripts_ object + - Start Unity app via Play button + +Place test subject with headset and VR goggles. To calibrate for test subject: + +1. Make calibration recording + - Make sure that MAX audio processing is ON and convolution is OFF. + - In MAX, press open and select `/calibration_recording.aif` + - Ask subject to talk and record ~60s. +2. Make eye calibration: + - In Unity, press play button and press `e` to start the eye calibration procedure. +3. Calibrate filters. In `Anacoda Powershell Prompt` with `` as + working directory + - compute calibration filter + + ``` + python -m libownaura.compute_calibration_filter calibration_recording.aif + ``` + + - calibrate Lora filters + + ``` + python -m libownaura.calibrate_lora_filters ` + --calibration_file calibration_file.npz ` + --output_folder filters + ``` + +3. Load filter folder in MAX: `select filter folder` as + `/filters` + +Run the experiment. On Unity computer: + +1. select a room via `0-9` +2. Start and stop a recording for that room by pressing `r` +3. Activate the dual task with `d` +4. Start and stop a recording for that room by pressing `r` +5. Deactivate the dual task with `d` +6. go back to 1. as necessary +7. At the end of the experiment (or any time in between) press the play button again to save any logs and stop any recordings + +After the experiment: + +- find the speech data in `/recordings` on the right hand side + machine +- find the eye tracking and dual task data in the + `/VR/ExperimentData` on the left hand side machine +- change back latency to 2048 in `RED PCIe Card Settings` +- change back FIR Filter and Delay ON in `BiampCanvas` + +# Preparation + +## One time setup + +Before trying anything of the below, make sure that you get admin rights for +both AVIL computers. Otherwise, you can neither change the buffer size of the +DSPs nor use eye tracking. (Andy gave Greta and Jonas already admin rights.) + +### Setting up a Python environment on RHS computer + +It is recommended to use `conda` to get a working Python environment on your +machine. If you don't have `conda`, install the Python 3 64bit version of +miniconda[^4] (just always press next in the installer). + +[^4]: [https://docs.conda.io/en/latest/miniconda.html](https://docs.conda.io/en/latest/miniconda.html) + +After installation, run python commands via the `Anaconda Powershell Prompt`. +There, `cd` to the Ownaura project folder, e.g. + + cd OwnAura + +Create a new Python environment called `ownaura` and install all required +packages using the command + + conda env create -f environment.yml + +When starting the Powershell prompt, always activate the environment with + + conda activate ownaura + +Always check that you are in the `(ownaura)` environment when you enter the +python commands below. Otherwise, you will get `ModuleNotFoundError`. + +### Preparing AVIL + +Inside AVIL (see [Fig 1](#fig:cable) and [Fig 2](#fig:arm)): + +- place the measurement microphone into the arm and connect it to LEMO 2 (which + is already connected via -> Nexus 2 -> input DSP #7 to the DSP) +- connect headset to XLR adapter to XLR IN2 *which us already connected to -> + input DSP #8) +- be careful to place all cable connections on isolation material and not + directly on the metallic grid +- Connect the VIVE Pro Eye headset to the outlet at the foot of the test subject + seat and press the little blue button on the outlet to activate the headset. + +![Connect headset to this little adapter and place cables onto isolating material. The headset adapter can just be clipped onto the test subject.](pics/cables.jpg){#fig:cable width=50%} + +![Place the microhone into this arm at a distance of 1m from the subjects head center](pics/arm.jpg){#fig:arm width=50%} + +In front of AVIL: + +- Turn AVIL DSPs and amps ON by following the notes on the big black box close + to the server rack +- Start the B&K Nexus preamplifier sitting on the right loudspeaker + - Check that amplifier gain in channel 2 (Nexus 2) is 3.16 V / Pa. The + measurement microphone will be connected to that channel. + +On the right AVIL computer: + +- Open `BiampCanvas` and connect by following the notes on the big black box + close to the server rack. On the control surface do the following (see [Fig + 3](#fig:biampChan8) and [Fig 4](#fig:biampClick)) + - Check that phantom power for input 8 (headset) is activated + - Set gain for input 8 to 24 dB + - Click Delays OFF + - Click FIR OFF + - Click KEF full range +- From the Windows menu, start `Rednet PCIe Card Settings` and set Buffer Size + to 32. _You need admin rights do change this._ Opening the program can take a + while. +- Start the Max MSP patch at `/MAX/convolver.maxpat` +- Make sure you have the HISSTools package installed in Max. It can be downloaded from https://github.com/HISSTools/HISSTools_Impulse_Response_Toolbox but one can also install it directly from the Package Manager of Max. + +![Headset needs phantom voltage and 24 dB gain](pics/biampChan8.png){#fig:biampChan8 width=49%} + +![Click these buttons. There is no indicator that something changed, but it does indeed change.](pics/biampClick.png){#fig:biampClick width=49%} + +On the left AVIL VR computer: + +- Start the Unity project at `/VR`. By opening `Unity Hub`, then + press `Add` and select the `/VR` folder. Start the project by + double clicking on the new item in the list. Another way is to directly start + `Unity 2019.4...` and then selecting `/VR`. + +### Computing Lora filters from Odeon simulations (only repeat when necessary) + +With the `ownaura` environment activated, `cd` to `/Lora filters`. +Then + + python odeon_to_lora_filters.py + +This will go through all folders in `/Odeon rooms` that have a `AVIL +implementation files` sub-folder with early reflection and energy-curve files +and compute ambisonics FIR filters for the AVIL setup using the Lora Toolbox. On +Windows, this could take up to 10 minutes, but it only has to be repeated +whenever the Odeon simulation files change. + +### Measuring AVIL impulse responses (only repeat when necessary) + +We need an estimate of the AVIL impulse responses to calibrate the Lora filters. +For setup: + +- mount measurement microphone on tripod instead of the arm and place on seat +- correct seat height such that microphone is in center of loudspeaker array +- close doors + +To start the measurement, + + python -m libownaura.measure_avil_impulse_responses + +This will measure the impulse responses and save them as a file in the current +directory (e.g. `h_avil_2021-02-08T12-01-09.npz`). Let's call the path to that +file ``. For more options of this command, check `python -m +libownaura.measure_avil_impulse_responses --help`. + +One can time window these responses before they are used to calibrate the +OwnAura system. Whether or not this is necessary or a good idea is not clear. +When time windowed, the system is calibrated only via its direct sound. In the +calibration room, this direct sound represents the first and only wall +reflection. A calibration with time window will reproduce this reflection with +an accurate magnitude. However, the total effective reverberant energy at the +listener position will be higher than expected as the calibration does not +account for the reverberant field inside AVIL. + +If you would like to window the responses in time-domain, you can use + + python -m libownaura.time_window_impulse_response ` + -w "((0.0195, 0.0197), (0.023, 0.024))" ` + --debug ` + + +which would save a response at `_windowed.npz` that is time +windowed between seconds 0.0195 and 0.023 with 0.1ms fade in time and 1ms fade +out time. The `--debug` flat makes the command plot some useful graphs for +inspection. + +The AVIL impulse responses only have to be remeasured if something in the AVIL +setup changed. + +## Calibrating for each test subject + +The next steps are needed for each test subject. Before commencing, I recommend +to create a new `` directory for each subject with the two +sub-directories `filters` and `recordings`. Use the DATA drive on the RHS +computer, e.g., `E:\fmheu\testSubjectDir\filters` and +`E:\fmheu\testSubjectDir\recordings`. + +### Calibration recording + +To adapt the system for each test subject, we need to measure the +transfer-function between the headset and the measurement microphone (at the 1m +away position). The MAX patch can be used for that. + +1. start `/MAX/convolver.maxpat` +2. make sure that MAX' audio processing is turned ON and the convolution is + turned OFF (see [Using Max](#using-max)) +3. press `open` in the recording section of the MAX patch to manually select a + file to record to, e.g. `/calibration_recording.aif` +4. ask the test subject to start taking +5. record around 60s of voice using the Start/Stop toggle + +### Calibration file + +With the AVIL impulse response file and the calibration recording, use the +following command to compute a calibration file that will be used in the next +section to calibrate the Lora filters[^backticks] + + python -m libownaura.compute_calibration_filter ` + --h_avil_file ` + /calibration_recording.aif + +This will create the file `/calibration_file.npz`. + +[^backticks]: The backticks ``` in the command just enable writing the single +line command over multiple lines. + +The `--h_avil_file ` of the above command can be left out, e.g., + + python -m libownaura.compute_calibration_filter ` + /calibration_recording.aif + +works as well. Then a default ` ` will be used that is specified on +line 339 of the file +`/libownaura/libownaura/compute_calibration_filter.py` script. So +when you remeasure, just set that line to the new file. + +### Calibrate Lora filters + +Finally, using the calibration file and the Lora filters, we can create the +personalized Lora filters. + + python -m libownaura.calibrate_lora_filters ` + --calibration_file /calibration_file.npz ` + --output_folder /filters + +You have now everything that is needed to start the experiment. + +## Cleaning up after experiment + +**Imprtant:** at the end of the day always + +- in `Rednet PCIe Card Settings` set Buffer Size to 2048. _You need admin rights do change this._ +- in `BiampCanvas`: set FIR ON and Delays ON + +# During the experiment + +## Using MAX + +The MAX patch can be found at `//MAX/convolver.maxpat`. And might be +already opened for the recording of the calibration file. Here are some more +details. It was written in MAX 8. Without a license, the patch can be run but +not changed. The patch depends on the `multiconvolve~` object from the +[HISStools](https://github.com/HISSTools/HISSTools_Impulse_Response_Toolbox) +package, which can be installed via MAX's package manager.[^](Already installed +on the LHS machine.) The patch uses the `poly~` object to run the convolution +with separate `multiconvolve~` objects on all CPU cores. It is thus important to +close all other applications as these could take resources needed for the +convolution process. + +![MAX power button toggles the audio processing on and off.](pics/DSPbutton.png){#fig:DSPbutton} + +Similar to Unity's play button, MAX has an ON/OFF switch in the lower right that +toggles the state of the audio processing system (blue means on). When the +simulation in Unity is started via the play button, it sends a OSC message to +the MAX patch that turns it on. It is automatically stopped, when the simulation +is stopped in Unity. Note that for the [calibration +recording](#calibration-recording), the audio processing has to turned on +manually! + +![convolver.maxpat](pics/MAXpatch.png){#fig:MAXpatch} + + +[Fig 6](#fig:MAXpatch) shows the interface of the patch. It implements two main +functionalities: 1) convolving the headset microphone signal with the calibrated +Lora filters for playback over the loudspeaker array and 2) recording the +headset microphone signal to disk. + +Toggle the convolution on and off with the big button on the upper left. This +will just stop sending the signals to the convolver object without stopping +MAX's audio processing, that is, one can still record incoming audio to disk. + +In the filter selection section, one can set the filters. Select a folder, e.g. +`/filters` with the button at `select filter folder` and then +select any filter in that folder via the drop-down menu (`select filter`). +Another option is to select a filter directly (`load IR file manually`). For the +interplay with Unity, only use the first option via the folder: when rooms are +switched in Unity via the number keys, the respective filter in the drop-down +menu is automatically selected. For example, pressing `0` activates the first +room of Unity's `Rooms` object and then sends a OSC message to the MAX patch +that loads the first filter present in the drop-down menu. + +When a filter is loaded into MAX's buffer, some details of it can be seen in the +`Filter details` section. + +In the recordings section, `select recordings folder` to +`/recordings`. When a recording is triggered in Unity via the +`R` key, a message is sent to the MAX patch specifying the name of the +recording. That file will be placed that directory. + +The input channels that are recorded can be specified in the `mc.adc~` object, +e.g. `mc.adc~ 7 8` would record at input channels 7 and 8 (the measurement +microphone and the headset). + +To manually record to a file, e.g. for the calibration recording, press `open` +and specify a file location. Then press the `Start / Stop recording` button to +start or stop a recording. To see if the patch is currently recording, see if +the `elapsed recording time in seconds` is increasing. + +Some settings and status parameters are shown in the `DSP and CPU status` +section. If the IO vector size is not 32, it has to be changed via the `Red +PCIe Card Settings` program. If the CPU utilization is too high, there will be +audible artifacts (clicks), in that case, close any other running apps and +processes on the MAX machine or use a shorter filter (see +[Troubleshooting](#troubleshooting)). + +The loudspeaker signals can be monitored in the `Loudspeaker signal monitoring` +section. + +## Using Unity + +The Unity project can be found in the `/VR` directory. It is based +on the 2019.4 LTS version and requires SteamVR for interfacing with the VR +equipment and +[SRanipal](https://developer.vive.com/resources/vive-sense/sdk/vive-eye-tracking-sdk-sranipal/) +for the eye tracking feature.[^](These are already installed on the LHS +machine, but might need to be updated for every new user.) + +### The Hierarchy + +All GameObjects and scripts of a Unity scene are managed via the Hierarchy on +the left hand side of the Unity window. In this project, it should look similar +to the image below. + +![The hierarchy](pics/hirarchy.png) + +The first object, `Scripts`, holds all scripts that handle the experiment logic. +Click on the object to open its inspector on the right window side. In the +inspector, all parameters of the experiment can be set manually. The function of +most parameters should be intuitive and some of them have a little text above +them with descriptions. + +The script handling the eye tracking is grouped via its own object `EyeTracking` +in the hierarchy. This makes it easy to disable the EyeTracking feature if one +is working on a machine without support (e.g. for development). To toggle the +activation status of the EyeTracking object, select the object and in the +inspector press the small box just next to the object name. Here, one can also +change the data rate of the eye track logger. + +`Rooms`, the third object in the hierarchy, is a container for different room +objects. The order of these objects is important: in play mode, you can use the +keys `0-9` to switch between rooms: a press to any of them will deactivate all +rooms and then activate the selected room where `0` corresponds to the first +room in the container (`Calibration room`), `1` to the second (`Room 1`)and so +forth.[^changegeo] + +[^]: If you want to change the geometries for any room, switch out the child +objects of the room objects (e.g. `16x12x4.5`) or add additional objects as +children to the respective room objects. Do not change the parent objects +themselves. + +The `StoryCubes` object holds the set of story cubes. Do not try to manually +edit them as these are automatically created via the `StoryCubeScript.cs` +component of the `Script` object. Use the parameters there to edit the position +and number of story cubes. + +The `DualTask` object holds two objects: the `DualTaskSphere` is the object that +appears and disappears for the dual task. Its placement is controlled via the +`DualTask.cs` component of the `Scripts` object. If you want to change the shape +or color of this object you can do it via the Inspector. If you would like to +use another object instead of the sphere, be sure to link your new object into +the `DualTaskObject` attribute of the `DualTask` component in the `Scripts` +object, such that the script knows which object it should move around. + +The `DualTaskSpaces` object contains the invisible space which defines the space +in which the `DualTask` object appears randomly. You can add any amount of +invisible objects to this object and the `DualTask.cs` script will use these +spaces to place the DualTask object in them with a constant probability density. +(In the current state, there are two of such space objects but one is +sufficient.) + +The `[CameraRig]` object should be activated when the VR system is connected. As +an alternative for development on a machine without VR system, activate the +`Camera` object instead (and deactivate `[CameraRig]`). With that object +activated, you can move the camera in play mode by holding the left mouse +button. + +### Running the project + +To start the VR project, press the play button in the top center of the screen. +If eye tracking is activated, you might see a Windows dialog asking for +permissions for the SR runtime: select `yes`. + +![Play button](pics/play.png) + +When in play mode, _none_ of the changes to the game or parameters are +permanent, that is, they are lost when exiting play mode. For making permanent +changes to the project exit the play mode by pressing the play button again and +then make your changes. + +In play mode, the following key controls are available for the experimenter at +the keyboard: + +- `0-9`: switch to any of the rooms in the order they are represented in the + `Rooms` object. This will also send a OSC message to the MAX patch that + switches convolution to the respective filters in the drop-down menu. + Switching rooms will deactivate the dual task and send an OSC message to the + MAX patch to stop any current recording. +- `C`: toggle convolver status ON/OFF +- `D`: toggle the dual task ON/OFF. The current status of the dual task is + visible in the inspector of the `Scripts` object. Toggling also triggers a log + message in the console. +- `R`: start or stop recording by sending a message to the MAX patch that either + starts a new recording or stops a current recording. The filename of the + recording is automatically created depending on the current subject, the + current room and the current status of the dual task. So always make sure to + start recording _after_ toggling the dual task. +- `spacebar`: trigger rolling of the story cubes (for development if no VR + controller is available) +- `T`: trigger the dual task (for development if no VR controller is available) +- `E`: start the eye calibration procedure. There is no way to abort the + procedure. + +In play mode, the following key controls are available for the test subject with +the VIVE controller: + +- trigger on the backside (`GrapPinch`): trigger the dual task +- large round pad press left/right (`PadPress`): trigger rolling of the story + cubes + +All keys can be remapped in the `Update` method of the `Manager.cs` script. + +### Monitoring the experiment and retrieving data + +Every time the play button is pressed or the room is changed via the `0-9` keys, +a new folder is created in the `` specified in the `Scripts` +object. The folder name consists of a date-time stamp, the subjects name and the +activated room. In the folder, there are three files that log the Dual Task +times, data from the eye tracking (pupiliometery and eye-openness (ranging from +0 to 1)), and any action that the participant or the experimenter takes. In the +console at the bottom of the unity window, these events are also displayed to +monitor everything that happens during the experiment. + +# Difference to Pelegrin-Garcia 2011: Loudspeaker-based system for real-time own-voice auralization + +The system is very similar. The main difference in implementation are: + +- The system is implemented in an approximately anechoic chamber. +- The system is calibrated in time: For the calibration room, the reproduced + reflection arrives at the speaker with the time delay of the simulation (there + is no explicit mentioning of time calibration in David's work). This holds for + any reflection arriving after 22ms. +- The Lora toolbox is modified such that reflections in the first 22ms are + shifted by 22ms. Otherwise, the time-calibration would produce non-causal + filters. +- Instead of calibrating in real-time via an EQ applied to the voice signal (cf + Fig.1 in David's paper), the calibration is applied to the Lora filters in a + preprocessing step (this enables the time-calibration) + +The calibration filter is computed as follows. At a single frequency, let $A = +[A_1, A_2, \dots, A_{64}]^T$ be the vector of transfer-functions between the +convolver and the center of the array through each loudspeaker. Let $W = [W_1, +W_2, \dots, W_{64}]^T$ be the frequency response of the Lora filters for the +calibration room. Let $C$ be the calibration filter. The total transfer-function +between convolver and the center of the array that reproduces the reflected +sound is + +$$H_{refl, avil} = A^T W C.$$ + +The direct sound in AVIL is quantified with the transfer-function $H_{direct, +avil}$ which is estimated during the calibration measurement by a causally +constrained Wiener filter between the headset and the measurement mic using +Welch's method with a window of $M=1024$ samples (at 48kHz samplerate) (see +function `compute_H_step2` in `calibrate_calibration_filter.py`). + +Further, let $H_{direct, sim}$ and $H_{refl, sim}$ be the simulated +transfer-function representing the direct and the reflected sound in the +calibration room. The goal of the calibration is to determine $C$ such that the +system reproduces the same reflections as the simulation, given some direct +sound, i.e., + +$$\frac{H_{refl, sim}}{H_{direct, sim}} = \frac{H_{refl, avil}}{H_{direct, avil}}.$$ + +or + +$$C = \frac{H_{refl, sim}}{H_{direct, sim}} \frac{H_{direct, avil} (A^T W)^*}{|A^T W|^2 + \epsilon}$$ + +where $\epsilon$ is a regularization parameter. + +However, $C$ will in general not be causal and as such, not realizeable in +real-time. Instead, we approximate $C$ by a minimum-phase FIR filter (with DFT +$C_{min}$) with $N=511$ taps and magnitude $|C|$ and a simple (negative) delay +$\tau$ such that + +$$ C(\omega) \approx C_{min}(\omega) \exp{(-\omega \tau)}.$$ + +When applying the calibration filter, the negative delay is implemented by +removing samples at the beginning of the Lora filters (approx. the first 21ms). + +The parameters $\epsilon$, $M$, $N$ (and also the regularization of the Wiener +filter $H_{direct, avil}$) can be set when running the calibration command. For +more info, see help `python -m libownaura.calibrate_calibration_filter.py +--help`. + + +# Estimating the effective AVIL room acoustic parameters using HATS + +The folder `/Room acoustic parameter measurement` contains scripts +for estimating the reproduced room acoustic parameters like Voice support, room +gain, and decay time using the transfer-function measurements with the +Head-and-torso-simulator (HATS). + +For the setup, do as described in section [Preparing Avil](#preparing-avil). +Additionally + +1. place HATS on seat + - correct seat height such that head is in center + - correct distance of measurement microphone to head center to 1m + - place headset on HATS +2. connect XLR OUT 1 to amplfier and amplifier to HATS' mouth + +To calibrate the OwnAura system, we let HATS speak white noise: + +1. start the noise generator in the patch `MAX/noise_generator.maxpat` +2. record 60s of noise using the patch `MAX/convolver.maxpat` + - same procedure as with calibrating for a human + - save as `HatsDir/calibration_recording.aif` + - close `MAX/noise_generator.maxpat` +3. compute the calibration file + + ``` + cd HatsDir + python -m libownaura.compute_calibration_filter ` + --h_avil_file ` + calibration_recording.aif + ``` + + and the calibrated lora filters + + ``` + python -m libownaura.calibrate_lora_filters ` + --calibration_file calibration_file.npz ` + --output_folder filters + ``` + +To measure with both ears of HATS, + +6. connect HATS microphones to + + LEMO 1 (which is connected to NEXUS 1 -> input DSP #5) and + + LEMO 2 (which is connected to NEXUS 2 -> input DSP #7) (you have to + disconnect the measurement microphone which is not needed anymore) +7. set the amplifier gain in NEXUS to 1 V/Pa for _both_ channels + +Now, everything is ready for some sweep measurements. We want to play sweeps +through HATS mouth and record them with HATS ears. For each room + +8. prepare convolution system + - Start `MAX/convolver.maxpat` if not already open + - load the filters in the folder `HatsDir/filters` + - select filter in dropdown menu + - make sure convolition and audio processing is ON +9. make a sweep measurement with `MAX/record_all_mics.maxpat` + - select one of the provided sweeps + - save the recordings in `HatsDir/recordings` + - chose some reasonable level + - start the recording. It ends automatically. + +Make sure to also make one recording with convolution turned OFF and call that +file `HatsDir/Anechoic.aif`. This Anechoic recording will be used for +computation of the room gain. + +At last, run the provided script to analyize all recordings in +`HatsDir/recordings` and save the room parameters in a file +`estimate_room_parameter.csv` + + cd /Room acoustic parameter measurement + python compute_room_acoustic_parameters.py + + +Note: You can choose from several sweep lengths (or create more sweeps with the +`make_sweep.py` script). Long sweeps are necessary for the estimation of the +decay time. Especially for the anechoic case, the energy drops very fast to the +noise floor. This makes it difficult to estimate the 40dB or 30dB drop time from +the backwards integrated energy responses. I used the the long 240s sweep for +the Anechoic condition and 120s sweeps for the rooms to save some time when I +did this experiment. Using different sweep lengths makes the estimate of the +room gains inaccurate, as recordings of different lengths have a different +amount of noise. I recommend to measure each room with the long sweep. The +processing can take quite some time in that case. + +# Troubleshooting + +- _The MAX patch is not reacting to the commands in Unity_: make sure that the + IP address and port are correctly specified in the `Scipts` object in Unity. +- The VR simulation starts at a completely wrong height/position: right click on + the SteamVR tray icon and select `Room Setup`. + + ![Room setup and Display VR view](pics/room_setup.png){width=60%} + +- _There is an error when starting the Unity simulation_: make sure that an + eye-tracking enabled VR headset is connected. And the SRanipal robot has green + eyes. If you want to develop without a proper headset connected, disable the + `EyeTracking` and `CameraRig` objects. + + ![Green robot eyes indicate working eye tracking](pics/robot_eyes.png) + +- _I need more information on the Python scripts_: Append the `-h` or `--help` + flags to any of the commands to get a help text e.g. + + `python -m libownaura.compute_calibration_filter --help` + + Append the `--debug` flag to turn on plotting of interesting quantities. + +- _I get a `ModuleNotFoundError` when running Python scripts_: make sure you + have the python environment activated with `conda activate ownaura` + +- _I get `ValueError: No output device matching 'RedNet PCIe'` when measuring + the AVIL transfer-functions_: Only one process can use the sound card at the + same time. Make sure to close any other processes that could use the sound + card, e.g., MAX must be closed for this measurement. There might also be other + users still logged in with a program open that uses the sound card. Also make + sure that the DSP's are turned on. + +- _I can't find my data_: the recordings are saved in the folder specified in + MAX (`set default recording folder here`) and the eye tracking and unity + logging is saved in the folder specified in the inspector of the `Scripts` + object. This folder might be in the `OwnAura/VR` Unity project folder on the + LHS machine. + +- _There is some wierd clicking noise coming out of the loudspeakers_: make sure + that there are no other processes than MAX running on the RHS computer. The + MAX patch needs all resources from all cores.Make sure that no other users is + logged in (you can see that in the Task manager with CTRL+ALT+DELETE). + +- _I can't write/move/delete a recordings file (e.g. used by another process)_: + It is important that you stop the recordings properly (via pressing `R` in the + LHS machine or via the start stop buttons on the RHS machine). Otherwise, the + file might still be "locked" by MAX. In that case, close all MAX processes + (task manager) and try moving / deleting the file. + +- _A lot of energy (much more than 2%) is cut off by the `python -m + libownaura.calibrate_lora_filters` command_: check the distance of the + measurement microphone to the test subject head (should be 1m). Also, check + that the buffer size on the RHS machine is correctly set to 32 (see [Preparing + AVIL](#preparing-avil)). + + By default, the `odeon_to_lora_filters.py` script moves early reflections out + of the first 22ms leaving the beginning of the responses to be approximately + 0. Then, the `calibrate_lora_filters.py` script can chop of the beginning of + responses to correctly time align them and account for the latency in the + system. If the system latency is to large or the subject too far from the + measurement microphone, more than 22ms will be chopped off for correct time + alignment, leading to the removal of some of the earliest reflections as well. + + You can change the amount the early reflections are moved in the + `odeon_to_lora_filters.py` script via the `move_ER` variable (around line 27). + +- _I don't see the eye calibration happening when pressing `e`_: The eye + calibration is an overlay over the Unity app. Thus, you can't see it happening + in the Unity window. You can however see it in the VR viewer that one can + activate by right clicking on the SteamVR tray icon and selecting `Display VR + view` (see figure above). + +- _There are all kinds of error messages in the log when opening the MAX patch_: + The two kind of messages `patchord outlet out of range` and `buffer b1 is not + valid` are not a problem and can be savely ignored. \ No newline at end of file diff --git a/Documentation/userguide.pdf b/Documentation/userguide.pdf new file mode 100644 index 0000000000000000000000000000000000000000..866c804e7e0be7eac9fef716c41dfb4878cb8977 GIT binary patch literal 1468097 zcmbTd1C*rClP+9sPHWn>ZQHhO+qP}noSwFAThq2}-TCeA{og%z_ndFrOi7=-uTZX3KP6#wQeoXDq*NeR*^dk56~i`lO(RR1uXqEvtLBZESTU4N|4{c2 z+7%P;Q%)GLS3xihXk^GTx%a^C6Iq3F(uO|28eZ&G>S?k`pM$UXRvQpSYLY}FlPKha zQG_cBL?x}incU-#o-WYq2hVLhu(MS4Q7br}@nK*cS-dib?}DH6@p(~r2#WNDM7!Sz zTEb=$jBq3#!^oE`x++W4>2ah%_qUJ`9}k3FU=!Y{ z(*)f0VG3N$whlK}6@>5|sc4jnq^9A2L&6t4vb`b#oDQ$X-m_CBL0fCh#!$s;Sf*yR 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