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Releases: k2-fsa/sherpa

speaker-recognition-models

10 Jan 02:57
4e8b0a1

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Provide torchscript example in Python for silero-vad (#695)

vad-models

09 Jan 05:19
ea0c0b5

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Export Pyannote models to torchscript (#694)

speaker-segmentation-models

08 Jan 09:01
2ffe462

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Export whisper models to torchscript. (#693)

asr-models

06 Jan 14:22
60b310c

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doc

11 Apr 08:57
85200aa

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doc
add a mirror for the pdf doc (#572)

Release v1.2

10 Mar 13:54
cac92c8

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  • Support pre-trained CTC models from NeMo

Release v1.0

04 Nov 08:27
078c709

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Release v1.0 (#186)

* Release v1.0

* Fix building on windows

Release v0.9.1

19 Sep 22:48

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Support LSTM transducer.

Release v0.8

15 Sep 16:26
be1a0ce

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Support endpointing.

Release v0.7

21 Aug 04:07
f22cf4c

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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.