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Releases: k2-fsa/sherpa

speaker-recognition-models

10 Jan 02:57
@csukuangfj csukuangfj
speaker-recognition-models
4e8b0a1
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Provide torchscript example in Python for silero-vad (#695)
Assets 15

vad-models

09 Jan 05:19
@csukuangfj csukuangfj
vad-models
ea0c0b5
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vad-models 
Export Pyannote models to torchscript (#694)
Assets 3
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speaker-segmentation-models

08 Jan 09:01
@csukuangfj csukuangfj
speaker-segmentation-models
2ffe462
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speaker-segmentation-models 
Export whisper models to torchscript. (#693)
Assets 3
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asr-models

06 Jan 14:22
@csukuangfj csukuangfj
asr-models
60b310c
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asr-models

For Chinese users, you can also visit
https://hf-mirror.com/k2-fsa/sherpa-models/tree/main/non-streaming-asr

Assets 15
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doc

11 Apr 08:57
@github-actions github-actions
doc
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doc 
add a mirror for the pdf doc (#572)
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Release v1.2

10 Mar 13:54
@csukuangfj csukuangfj
v1.2
cac92c8
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Release v1.2
  • Support pre-trained CTC models from NeMo
Assets 3
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Release v1.0

04 Nov 08:27
@csukuangfj csukuangfj
v1.0
078c709
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Release v1.0 
Release v1.0 (#186)

* Release v1.0

* Fix building on windows
Assets 2
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Release v0.9.1

19 Sep 22:48
@csukuangfj csukuangfj
v0.9.1
5365a2c
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Release v0.9.1

Support LSTM transducer.

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Release v0.8

15 Sep 16:26
@csukuangfj csukuangfj
v0.8
be1a0ce
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Release v0.8

Support endpointing.

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Release v0.7

21 Aug 04:07
@csukuangfj csukuangfj
v0.7
f22cf4c
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Release v0.7

Add c++ frontend for non-streaming ASR.

See https://k2-fsa.github.io/sherpa/cpp/installation/index.html for installation.

See https://k2-fsa.github.io/sherpa/cpp/offline_asr/index.html for usage.

Note: It supports conda install on Linux/macOS/Windows.

Assets 2
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