PaddleSpeech/examples/librispeech/README.md

# ASR

* asr0 - deepspeech2 Streaming/Non-Streaming
* asr1 - transformer/conformer Streaming/Non-Streaming
* asr2 - transformer/conformer Streaming/Non-Streaming with Kaldi feature
* asr3 - wav2vecASR, ASR model with pre-trained wav2vec2 and CTC

## Data
| Data Subset | Duration in Seconds |
| --- | --- |
| data/manifest.train |  0.83s ~ 29.735s |
| data/manifest.dev | 1.065 ~ 35.155s |  
| data/manifest.test-clean | 1.285s ~ 34.955s |
E2E/Streaming Transformer/Conformer ASR (#578) * add cmvn and label smoothing loss layer * add layer for transformer * add glu and conformer conv * add torch compatiable hack, mask funcs * not hack size since it exists * add test; attention * add attention, common utils, hack paddle * add audio utils * conformer batch padding mask bug fix #223 * fix typo, python infer fix rnn mem opt name error and batchnorm1d, will be available at 2.0.2 * fix ci * fix ci * add encoder * refactor egs * add decoder * refactor ctc, add ctc align, refactor ckpt, add warmup lr scheduler, cmvn utils * refactor docs * add fix * fix readme * fix bugs, refactor collator, add pad_sequence, fix ckpt bugs * fix docstring * refactor data feed order * add u2 model * refactor cmvn, test * add utils * add u2 config * fix bugs * fix bugs * fix autograd maybe has problem when using inplace operation * refactor data, build vocab; add format data * fix text featurizer * refactor build vocab * add fbank, refactor feature of speech * refactor audio feat * refactor data preprare * refactor data * model init from config * add u2 bins * flake8 * can train * fix bugs, add coverage, add scripts * test can run * fix data * speed perturb with sox * add spec aug * fix for train * fix train logitc * fix logger * log valid loss, time dataset process * using np for speed perturb, remove some debug log of grad clip * fix logger * fix build vocab * fix logger name * using module logger as default * fix * fix install * reorder imports * fix board logger * fix logger * kaldi fbank and mfcc * fix cmvn and print prarams * fix add_eos_sos and cmvn * fix cmvn compute * fix logger and cmvn * fix subsampling, label smoothing loss, remove useless * add notebook test * fix log * fix tb logger * multi gpu valid * fix log * fix log * fix config * fix compute cmvn, need paddle 2.1 * add cmvn notebook * fix layer tools * fix compute cmvn * add rtf * fix decoding * fix layer tools * fix log, add avg script * more avg and test info * fix dataset pickle problem; using 2.1 paddle; num_workers can > 0; ckpt save in exp dir;fix setup.sh; * add vimrc * refactor tiny script, add transformer and stream conf * spm demo; librisppech scripts and confs * fix log * add librispeech scripts * refactor data pipe; fix conf; fix u2 default params * fix bugs * refactor aishell scripts * fix test * fix cmvn * fix s0 scripts * fix ds2 scripts and bugs * fix dev & test dataset filter * fix dataset filter * filter dev * fix ckpt path * filter test, since librispeech will cause OOM, but all test wer will be worse, since mismatch train with test * add comment * add syllable doc * fix ds2 configs * add doc * add pypinyin tools * fix decoder using blank_id=0 * mmseg with pybind11 * format code 4 years ago			`# ASR`
librispeech s2 for kaldi feat 4 years ago
rename asr egs 3 years ago			`* asr0 - deepspeech2 Streaming/Non-Streaming`
			`* asr1 - transformer/conformer Streaming/Non-Streaming`
			`* asr2 - transformer/conformer Streaming/Non-Streaming with Kaldi feature`
format wav2vec2 demo 2 years ago			`* asr3 - wav2vecASR, ASR model with pre-trained wav2vec2 and CTC`
compute cmvn before build vocab 3 years ago
			`## Data`
			`\| Data Subset \| Duration in Seconds \|`
			`\| --- \| --- \|`
			`\| data/manifest.train \| 0.83s ~ 29.735s \|`
			`\| data/manifest.dev \| 1.065 ~ 35.155s \|`
			`\| data/manifest.test-clean \| 1.285s ~ 34.955s \|`