* fix a bug about the model_avg during finetuning by exchanging the order of loading pre-trained model and initializing avg model
* only match the exact module prefix
* fixes for `diagnostics`
Replace `2 ** 22` with `512` as the default value of `diagnostics.TensorDiagnosticOptions`
also black formatted some scripts
* fixed formatting issues
* disable speed perturbation by default
* minor fixes
* minor updates
* updated bash scripts to incorporate with the `speed-perturb` arg
* minor fixes
1. changed the naming scheme from `speed-perturb` to `perturb-speed` to align with the librispeech recipe
>> 00256a7669/egs/librispeech/ASR/local/compute_fbank_librispeech.py (L65)
2. changed arg type for `perturb-speed` to str2bool
* 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>
* Add function display_and_save_batch in egs/wenetspeech/ASR/pruned_transducer_stateless2/train.py
* Modify function: display_and_save_batch
* Delete empty line in pruned_transducer_stateless2/train.py
* Modify code format
* 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
* add multiprocessing for wenetspeech text segmentation
* Fix preparing char based lang for wenetspeech
* fix style
Co-authored-by: WeijiZhuang <zhuangweiji@xiaomi.com>
* add other decoding methods for wenetspeech
* changes for RESULTS.md
* add ngram-lm-scale=0.35 results
* set ngram-lm-scale=0.35 as default
* Update README.md
* add nbest-scale for flie name
* 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
