* 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>
* copy files from zipformer librispeech
* Add byte bpe training for aishell
* compile LG graph
* Support LG decoding
* Minor fixes
* black
* Minor fixes
* export & fix pretrain.py
* fix black
* Update RESULTS.md
* Fix export.py
* Add char-based language model training process for aishell.
Add soft link from librispeech/ASR/local/sort_lm_training_data.py to aishell/ASR/local/
---------
Co-authored-by: lichao <www.563042811@qq.com>
* Fix not enough values to unpack error .
* [WIP] Pruned transducer stateless2 for AISHELL-1
* fix the style issue
* code format for black
* add pruned-transducer-stateless2 results for AISHELL-1
* simplify result
* 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
* Use jsonl for cutsets in the librispeech recipe.
* Use lazy cutset for all recipes.
* More fixes to use lazy CutSet.
* Remove force=True from logging to support Python < 3.8
* Minor fixes.
* Fix style issues.
* Add modified transducer for aishell.
* Minor fixes.
* Add extra data in transducer training.
The extra data is from http://www.openslr.org/62/
* Update export.py and pretrained.py
* Update CI to install pretrained models with aishell.
* Update results.
* Update results.
* Update README.
* Use symlinks to avoid copies.