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icefall/egs/gigaspeech/ASR
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Wei Kang 5c17255eec
Sort results to make it more convenient to compare decoding results (#522) 
* 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
2022-08-12 07:12:50 +08:00
..
conformer_ctc
Sort results to make it more convenient to compare decoding results (#522)
2022-08-12 07:12:50 +08:00
local
Set overwrite=True when extracting features in batches. (#487)
2022-07-29 11:17:19 +08:00
pruned_transducer_stateless2
Sort results to make it more convenient to compare decoding results (#522)
2022-08-12 07:12:50 +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.