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WeNet 1.0.0
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@robin1001 robin1001 released this 21 Jun 07:27
· 1084 commits to main since this release
v1.0.0
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Learn about vigilant mode.

Model

  • propose and support U2++, as the following graph shows, which uses both forward and backward information at training and decoding.

image

  • support dynamic left chunk training and decoding, so we can limit history chunk at decoding to save memory and computation.
  • support distributed training.

Dataset

Now we support the following five standard speech datasets, and we got SOTA result or close to SOTA result.

数据集 语言 数据量(h) 测试集 CER/WER SOTA
aishell-1 中文 200 test 4.36 4.36(WeNet)
aishell-2 中文 1000 test_ios 5.39 5.39(WeNet)
multi-cn 中文 2385 / / /
librispeech 英文 1000 test_clean 2.66 2.10(EspNet)
gigaspeech 英文 10000 test 11.0 10.80(EspNet)

Productivity

Here are some features related to productivity.

  • LM support. Here is the system design or LM supporting. WeNet can work with/without LM according to your applications/scenarios.

image

  • timestamp support.
  • n-best support.
  • endpoint support.
  • gRPC support
  • further refine x86 server and on-device android recipe.
Assets 2
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