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icefall/egs/gigaspeech/ASR
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Fangjun Kuang f1abce72f8
Use jsonl for CutSet in the LibriSpeech recipe. (#397) 
* 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.
2022-06-06 10:19:16 +08:00
..
conformer_ctc
Use jsonl for CutSet in the LibriSpeech recipe. (#397)
2022-06-06 10:19:16 +08:00
local
Use jsonl for CutSet in the LibriSpeech recipe. (#397)
2022-06-06 10:19:16 +08:00
pruned_transducer_stateless2
Use jsonl for CutSet in the LibriSpeech recipe. (#397)
2022-06-06 10:19:16 +08:00
.gitignore
GigaSpeech recipe (#120)
2022-04-14 16:07:22 +08:00
prepare.sh
GigaSpeech recipe (#120)
2022-04-14 16:07:22 +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.