18 Commits

Author	SHA1	Message	Date
Guanbo Wang	e83b703c5e	Use split-lazy	2022-04-13 18:08:32 -04:00
Guanbo Wang	6a425ed793	Keep the original tolerance	2022-04-11 20:12:00 -04:00
Guanbo Wang	ba245aa60f	Use default storage_type	2022-04-11 20:10:50 -04:00
Guanbo Wang	3ddcc7939b	Delete compute_fbank_gigaspeech.py	2022-04-06 18:57:53 -04:00
Guanbo Wang	c62e0b7f2c	use 3gram to decode, 4gram to rescore	2022-02-14 16:30:09 -08:00
wgb14	652646ab8f	use pretrained language model and lexicon	2022-01-17 19:05:51 -05:00
wgb14	72abd38f27	use KaldifeatFbank to compute fbank for musan	2022-01-17 18:54:16 -05:00
wgb14	6e5b189fc5	DynamicBucketingSampler	2021-12-29 15:22:46 -05:00
wgb14	64bd3f7df4	set audio duration mismatch tolerance to 0.01	2021-12-01 17:49:46 -05:00
Fangjun Kuang	8109c2b913	Split manifests into 2000 pieces.	2021-11-30 12:04:15 +08:00
Fangjun Kuang	4351e1ea14	Fixes after review.	2021-11-28 15:10:55 +08:00
Fangjun Kuang	317f5ec64e	Compute features for GigaSpeech by splitting the manifest.	2021-11-28 13:24:05 +08:00
wgb14	fa734e01a3	chunked feature extraction by default	2021-11-16 20:23:12 -05:00
wgb14	16f1799ef3	support HLG for BPE	2021-11-13 23:59:50 -05:00
wgb14	3dbb15bda2	support BPE based lang	2021-11-13 23:27:45 -05:00
wgb14	1d58765bd5	on-the-fly feature extraction by default	2021-11-13 17:45:35 -05:00
wgb14	75860159a2	support download, data prep, and fbank	2021-11-12 14:43:19 -05:00
wgb14	b7bda9eaf6	initial commit	2021-11-09 01:12:21 -05:00