Daniel Povey 4e23fb2252
Improve diagnostics code memory-wise and accumulate more stats. (#373)
* Update diagnostics, hopefully print more stats.

# Conflicts:
#	egs/librispeech/ASR/pruned_transducer_stateless4b/train.py

* Remove memory-limit options arg

* Remove unnecessary option for diagnostics code, collect on more batches
2022-05-19 11:45:59 +08:00
..
2022-05-07 08:10:54 +08:00
2022-04-14 16:07:22 +08:00
2022-04-14 16:07:22 +08:00
2022-04-14 16:07:22 +08:00
2022-05-15 12:57:40 +08:00
2022-05-15 12:57:40 +08:00
2022-04-14 16:07:22 +08:00

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.