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* 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>
983 B
983 B
Introduction
This recipe includes scripts for training Zipformer model using multiple Chinese datasets.
Included Training Sets
- THCHS-30
- AiShell-{1,2,4}
- ST-CMDS
- Primewords
- MagicData
- Aidatatang_200zh
- AliMeeting
- WeNetSpeech
- KeSpeech-ASR
Datset | Number of hours | URL |
---|---|---|
TOTAL | 14,106 | --- |
THCHS-30 | 35 | https://www.openslr.org/18/ |
AiShell-1 | 170 | https://www.openslr.org/33/ |
AiShell-2 | 1,000 | http://www.aishelltech.com/aishell_2 |
AiShell-4 | 120 | https://www.openslr.org/111/ |
ST-CMDS | 110 | https://www.openslr.org/38/ |
Primewords | 99 | https://www.openslr.org/47/ |
aidatatang_200zh | 200 | https://www.openslr.org/62/ |
MagicData | 755 | https://www.openslr.org/68/ |
AliMeeting | 100 | https://openslr.org/119/ |
WeNetSpeech | 10,000 | https://github.com/wenet-e2e/WenetSpeech |
KeSpeech | 1,542 | https://github.com/KeSpeech/KeSpeech |
Included Test Sets
- Aishell-{1,2,4}
- Aidatatang_200zh
- AliMeeting
- MagicData
- KeSpeech-ASR
- WeNetSpeech