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History

Replace deprecated pytorch methods (#1814 )

* Replace deprecated pytorch methods

- torch.cuda.amp.GradScaler(...) => torch.amp.GradScaler("cuda", ...)
- torch.cuda.amp.autocast(...) => torch.amp.autocast("cuda", ...)

* Replace `with autocast(...)` with `with autocast("cuda", ...)`


Co-authored-by: Li Peng <lipeng@unisound.ai>

2024-12-16 10:24:16 +08:00

conformer_ctc

Fix buffer size of DynamicBucketingSampler (#1468 )

2024-01-21 02:10:42 +08:00

local

Strengthened style constraints (#1527 )

2024-03-04 23:28:04 +08:00

pruned_transducer_stateless2

Replace deprecated pytorch methods (#1814 )

2024-12-16 10:24:16 +08:00

zipformer

Replace deprecated pytorch methods (#1814 )

2024-12-16 10:24:16 +08:00

.gitignore

Add Blankskip to Zipformer+CTC (#730 )

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

prepare.sh

fix gigaspeech_prepare.sh (#1734 )

2024-08-28 12:15:01 +08:00

README.md

Add Zipformer recipe for GigaSpeech (#1254 )

2023-10-21 15:36:59 +08:00

RESULTS.md

Add Zipformer recipe for GigaSpeech (#1254 )

2023-10-21 15:36:59 +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
`zipformer`	10.25	10.38
`conformer_ctc`	10.47	10.58
`pruned_transducer_stateless2`	10.40	10.51

See RESULTS for details.