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Releases: k2-fsa/sherpa

doc

11 Apr 08:57
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doc
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doc Latest
Latest 
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
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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
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Release v0.9.1

19 Sep 22:48
@csukuangfj csukuangfj
v0.9.1
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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.

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Release v0.6

03 Jul 01:32
@csukuangfj csukuangfj
v0.6
6e596dc
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Release v0.6

Bugfixes.

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Release v0.5

11 Jun 01:41
@csukuangfj csukuangfj
v0.5
01d9e17
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Release v0.5
  • Add @torch.no_grad() to other threads in addition to the main thread to reduce memory consumption since torch.no_grad() is thread-local
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Release v0.4

07 Jun 05:05
@csukuangfj csukuangfj
v0.4
522884e
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Release v0.4
  • Support torch >= 1.6.0
  • Support specifying the max number of clients that can be handled by the server
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Release v0.3

04 Jun 11:02
@csukuangfj csukuangfj
v0.3
aff9cd0
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Release v0.3
  1. Support streaming ASR with pruned stateless Emformer RNN-T
  2. Add checks for torch version during import time
  3. Support Windows
Assets 2
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