mirror of https://github.com/k2-fsa/icefall.git synced 2025-08-08 09:32:20 +00:00

History

* init files

* add ctc as auxiliary loss and ctc_decode.py

* tuning the scalar of HLG score for 1best, nbest and nbest-oracle

* rename to pruned_transducer_stateless7_ctc

* fix doc

* fix bug, recover the hlg scores

* modify ctc_decode.py, move out the hlg scale

* fix hlg_scale

* add export.py and pretrained.py, and so on

* upload files, update README.md and RESULTS.md

* add CI test

* update .gitignore

* create symlinks

* Add Blank Skip to Zipformer+CTC

* Add warmup to blank skip

* Add warmup to blank skip

* Add __init__.py

* Add parameters_names to Adam

* Add warmup to blank skip

* Modify frame_reducer

* Modify frame_reducer

* Add Blank Skip to decode.

* Add ctc_decode.py

* Add blank skip to Zipformer+CTC

* process conflict

* process conflict

* modify ctc_guild_decode_bk.py

* modify Lconv

* produce the conflict

* Add export.py

* finish export

* fix for running black

* Add ci test

* Add ci-test

* chmod

* chmod

* fix bug for ci-test

* fix bug for ci-test

* fix bug for ci-test

* rename the dirname

* rename the dirname

* change dirname

* change dirname

* fix notes

* add pretrained.py

* add pretrained.py

* add pretrained.py

* add pretrained.py

* add pretrained.py

* add pretrained.py

* fix

* fix

* fix

* finished

* add the Copyright info and notes

Co-authored-by: Zengwei Yao <yaozengwei@outlook.com>
Co-authored-by: yifanyang <yifanyeung@yifanyangs-MacBook-Pro.local>

2022-12-21 17:41:31 +08:00

conformer_ctc

manual correction of black formatting

2022-11-17 14:18:05 -05:00

local

apply black on all files

2022-11-17 09:42:17 -05:00

pruned_transducer_stateless2

manual correction of black formatting

2022-11-17 14:18:05 -05:00

.gitignore

Add Blankskip to Zipformer+CTC (#730 )

2022-12-21 17:41:31 +08:00

prepare.sh

fix segmentation fault

2022-11-22 11:39:21 +08:00

README.md

Update GigaSpeech reults (#364 )

2022-05-15 12:57:40 +08:00

RESULTS.md

Update GigaSpeech reults (#364 )

2022-05-15 12:57:40 +08:00

shared

GigaSpeech recipe (#120 )

2022-04-14 16:07:22 +08:00

README.md

GigaSpeech

GigaSpeech, an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio, collected from audiobooks, podcasts and YouTube, covering both read and spontaneous speaking styles, and a variety of topics, such as arts, science, sports, etc. More details can be found: https://github.com/SpeechColab/GigaSpeech

Download

Apply for the download credentials and download the dataset by following https://github.com/SpeechColab/GigaSpeech#download. Then create a symlink

ln -sfv /path/to/GigaSpeech download/GigaSpeech

Performance Record

	Dev	Test
`conformer_ctc`	10.47	10.58
`pruned_transducer_stateless2`	10.40	10.51

See RESULTS for details.