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916 Commits

Author SHA1 Message Date
Fangjun Kuang
60986c3ac1
Fix default value for --context-size in icefall. (#1538) 2024-03-08 20:47:13 +08:00
zr_jin
ae61bd4090
Minor fixes for the commonvoice recipe (#1534) 
* init commit

* fix for issue https://github.com/k2-fsa/icefall/issues/1531

* minor fixes
 2024-03-08 11:01:11 +08:00
Yuekai Zhang
5df24c1685
Whisper large fine-tuning on wenetspeech, mutli-hans-zh (#1483) 
* add whisper fbank for wenetspeech

* add whisper fbank for other dataset

* add str to bool

* add decode for wenetspeech

* add requirments.txt

* add original model decode with 30s

* test feature extractor speed

* add aishell2 feat

* change compute feature batch

* fix overwrite

* fix executor

* regression

* add kaldifeatwhisper fbank

* fix io issue

* parallel jobs

* use multi machines

* add wenetspeech fine-tune scripts

* add monkey patch codes

* remove useless file

* fix subsampling factor

* fix too long audios

* add remove long short

* fix whisper version to support multi batch beam

* decode all wav files

* remove utterance more than 30s in test_net

* only test net

* using soft links

* add kespeech whisper feats

* fix index error

* add manifests for whisper

* change to licomchunky writer

* add missing option

* decrease cpu usage 

* add speed perturb for kespeech

* fix kespeech speed perturb

* add dataset

* load checkpoint from specific path

* add speechio

* add speechio results

---------

Co-authored-by: zr_jin <peter.jin.cn@gmail.com>
 2024-03-07 19:04:27 +08:00
zr_jin
cdb3fb5675
add text norm script for pl (#1532) 2024-03-07 18:47:29 +08:00
zr_jin
335a9962de
Fixed formatting issue of PR #1528 (#1530) 2024-03-06 08:43:45 +08:00
Rezakh20
ff430b465f
Add num_features to train.py for training WSASR (#1528) 2024-03-05 16:40:30 +08:00
zr_jin
242002e0bd
Strengthened style constraints (#1527) 2024-03-04 23:28:04 +08:00
Fangjun Kuang
29b195a42e
Update export-onnx.py for vits to support sherpa-onnx. (#1524) 2024-03-01 19:53:58 +08:00
zr_jin
58610b1bf6
Provides README.md for TTS recipes (#1491) 
* Update README.md
 2024-02-29 17:31:28 +08:00
Xiaoyu Yang
7e2b561bbf
Add recipe for fine-tuning Zipformer with adapter (#1512) 2024-02-29 10:57:38 +08:00
Zengwei Yao
d89f4ea149
Use piper_phonemize as text tokenizer in ljspeech recipe (#1511) 
* use piper_phonemize as text tokenizer in ljspeech recipe

* modify usage of tokenizer in vits/train.py

* update docs
 2024-02-29 10:13:22 +08:00
Xiaoyu Yang
2483b8b4da
Zipformer recipe for SPGISpeech (#1449) 2024-02-22 15:53:19 +08:00
Wei Kang
aac7df064a
Recipes for open vocabulary keyword spotting (#1428) 
* English recipe on gigaspeech; Chinese recipe on wenetspeech
 2024-02-22 15:31:20 +08:00
Zengwei Yao
b3e2044068
minor fix of vits/tokenizer.py (#1504) 
* minor fix of vits/tokenizer.py
 2024-02-19 19:33:32 +08:00
zr_jin
db4d66c0e3
Fixed softlink for ljspeech recipe (#1503) 2024-02-19 16:13:09 +08:00
Wei Kang
711d6bc462
Refactor prepare.sh in librispeech (#1493) 
* Refactor prepare.sh in librispeech, break it into three parts,  prepare.sh (basic, minimal requirement for transducer), prepare_lm.sh (ngram & nnlm staff), prepare_mmi.sh (for MMI training).
 2024-02-09 10:44:19 +08:00
Tiance Wang
4ed88d9484
Update shared (#1487) 
There should be one more ../
 2024-02-07 10:16:02 +08:00
Xiaoyu Yang
777074046d
Fine-tune recipe for Zipformer (#1484) 
1. support finetune zipformer
2. update the usage; set a very large batch count
 2024-02-06 18:25:43 +08:00
zr_jin
a813186f64
minor fix for docstr and default param. (#1490) 
* Update train.py and README.md
 2024-02-05 12:47:52 +08:00
Teo Wen Shen
b9e6327adf
Fixing torch.ctc err (#1485) 
* fixing torch.ctc err

* Move targets & lengths to CPU
 2024-02-03 06:25:27 +08:00
Henry Li Xinyuan
b07d5472c5
Implement recipe for Fluent Speech Commands dataset (#1469) 
---------

Signed-off-by: Xinyuan Li <xli257@c13.clsp.jhu.edu>
 2024-01-31 22:53:36 +08:00
zr_jin
37b975cac9
fixed a CI test for wenetspeech (#1476) 
* Comply to issue #1149

https://github.com/k2-fsa/icefall/issues/1149
 2024-01-27 06:41:56 +08:00
Yuekai Zhang
1c30847947
Whisper Fine-tuning Recipe on Aishell1 (#1466) 
* add decode seamlessm4t

* add requirements

* add decoding with avg model

* add token files

* add custom tokenizer

* support deepspeed to finetune large model

* support large-v3

* add model saving

* using monkey patch to replace models

* add manifest dir option
 2024-01-27 00:32:30 +08:00
Fangjun Kuang
8d39f9508b
Fix torchscript export to use tokens.txt instead of lang_dir (#1475) 2024-01-26 19:18:33 +08:00
Zengwei Yao
c401a2646b
minor fix of zipformer/optim.py (#1474) 2024-01-26 15:50:11 +08:00
zr_jin
9c494a3329
typos fixed (#1472) 2024-01-25 18:41:43 +08:00
Triplecq
5d94a19026 prepare for 1000h dataset 2024-01-24 11:33:36 -05:00
Triplecq
d864da4d65 validation scripts 2024-01-25 01:25:28 +09:00
Triplecq
f35fa8aa8f add blank penalty in decoding script 2024-01-23 17:10:10 -05:00
Triplecq
a8e9dc2488 all combinations of epochs and avgs 2024-01-23 21:12:17 +09:00
Yifan Yang
5dfc3ed7f9
Fix buffer size of DynamicBucketingSampler (#1468) 
* Fix buffer size

* Fix for flake8

---------

Co-authored-by: yifanyeung <yifanyeung@yifanyeung.local>
 2024-01-21 02:10:42 +08:00
zr_jin
7bdde9174c
A Zipformer recipe with Byte-level BPE for Aishell-1 (#1464) 
* init commit

* Update train.py

* Update decode.py

* Update RESULTS.md

* added `vocab_size`

* removed unused softlinks

* added scripts for testing pretrained models

* set `bpe_model` as required

* re-org the bbpe recipe for aishell
 2024-01-16 21:08:35 +08:00
Triplecq
77178c6311 comment out params related to the chunk size 2024-01-14 17:35:20 -05:00
Triplecq
7b6a89749d customize decoding script 2024-01-14 17:29:22 -05:00
Triplecq
04fa9e3e8c traning script completed 2024-01-15 07:06:14 +09:00
Triplecq
42c152f5cb decrease learning-rate to solve the error: RuntimeError: grad_scale is too small, exiting: 5.820766091346741e-11 2024-01-14 12:12:15 -05:00
Triplecq
ced8a53cdc Merge branch 'master' into rs 2024-01-14 23:05:00 +09:00
Triplecq
819db8fcad Merge branch 'master' of github.com:Triplecq/icefall 2024-01-14 23:00:19 +09:00
Triplecq
dc2d531540 customized recipes for rs 2024-01-14 22:28:53 +09:00
Triplecq
b1de6f266c customized recipes for reazonspeech 2024-01-14 22:28:32 +09:00
Triplecq
1e6fe2eae1 restore 2024-01-14 08:05:49 -05:00
Triplecq
5e9a171b20 customize tranning script for rs 2024-01-14 07:45:33 -05:00
Triplecq
8eae6ec7d1 Add pruned_transducer_stateless2 from reazonspeech branch 2024-01-14 05:23:26 -05:00
Triplecq
af87726bf2 init zipformer recipe 2024-01-14 19:13:21 +09:00
zr_jin
5445ea6df6
Use shuffled LibriSpeech cuts instead (#1450) 
* use shuffled LibriSpeech cuts instead

* leave the old code in comments for reference
 2024-01-08 15:09:21 +08:00
zr_jin
b9b56eb879
Minor fixes to the VCTK data prep scripts (#1441) 
* Update prepare.sh
 2024-01-08 14:28:07 +08:00
Karel Vesely
716b82cc3a
streaming_decode.py, relax the audio range from [-1,+1] to [-10,+10] (#1448) 
- some AudioTransform classes produce audio signals out of range [-1,+1]
   - Resample produced 1.0079
   - The range [-10,+10] was chosen to still be able to reliably
     distinguish from the [-32k,+32k] signal...
- this is related to : https://github.com/lhotse-speech/lhotse/issues/1254
 2024-01-05 10:21:27 +08:00
Fangjun Kuang
8136ad775b
Use high_freq -400 in computing fbank features. (#1447) 
See also https://github.com/k2-fsa/sherpa-onnx/issues/514
 2024-01-04 13:59:32 +08:00
zr_jin
f42258caf8
Update compute_fbank_commonvoice_splits.py (#1437) 2023-12-30 13:03:26 +08:00
Chen
2436597f7f Zipformer recipe 2023-12-28 05:37:40 +09:00