- some AudioTransform classes produce audio signals out of range [-1,+1]
- Resample produced 1.0079
- The range [-10,+10] was chosen to still be able to reliably
distinguish from the [-32k,+32k] signal...
- this is related to : https://github.com/lhotse-speech/lhotse/issues/1254
* fixes for `diagnostics`
Replace `2 ** 22` with `512` as the default value of `diagnostics.TensorDiagnosticOptions`
also black formatted some scripts
* fixed formatting issues
* copy files
* update train.py
* small fixes
* Add decode.py
* Fix dataloader in decode.py
* add blank penalty
* Add blank-penalty to other decoding method
* Minor fixes
* add zipformer2 recipe
* Minor fixes
* Remove pruned7
* export and test models
* Replace bpe with tokens in export.py and pretrain.py
* Minor fixes
* Minor fixes
* Minor fixes
* Fix export
* Update results
* Fix zipformer-ctc
* Fix ci
* Fix ci
* Fix CI
* Fix CI
---------
Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>
* filter the case of T < S for training data
* fix style issues
* fix style issues
* fix style issues
Co-authored-by: 张云斌 <zhangyunbin@MacBook-Air.local>
* Sort result to make it more convenient to compare decoding results
* Add cut_id to recognition results
* add cut_id to results for all recipes
* Fix torch.jit.script
* Fix comments
* Minor fixes
* Fix torch.jit.tracing for Pytorch version before v1.9.0
* pruned-rnnt5-for-wenetspeech
* style check
* style check
* add streaming conformer
* add streaming decode
* changes codes for fast_beam_search and export cpu jit
* add modified-beam-search for streaming decoding
* add modified-beam-search for streaming decoding
* change for streaming_beam_search.py
* add README.md and RESULTS.md
* change for style_check.yml
* do some changes
* do some changes for export.py
* add some decode commands for usage
* add streaming results on README.md