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5df24c1685
* 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>
40 lines
983 B
Markdown
40 lines
983 B
Markdown
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# Introduction
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This recipe includes scripts for training Zipformer model using multiple Chinese datasets.
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# Included Training Sets
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1. THCHS-30
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2. AiShell-{1,2,4}
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3. ST-CMDS
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4. Primewords
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5. MagicData
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6. Aidatatang_200zh
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7. AliMeeting
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8. WeNetSpeech
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9. KeSpeech-ASR
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|Datset| Number of hours| URL|
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|**TOTAL**|14,106|---|
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|THCHS-30|35|https://www.openslr.org/18/|
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|AiShell-1|170|https://www.openslr.org/33/|
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|AiShell-2|1,000|http://www.aishelltech.com/aishell_2|
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|AiShell-4|120|https://www.openslr.org/111/|
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|ST-CMDS|110|https://www.openslr.org/38/|
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|Primewords|99|https://www.openslr.org/47/|
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|aidatatang_200zh|200|https://www.openslr.org/62/|
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|MagicData|755|https://www.openslr.org/68/|
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|AliMeeting|100|https://openslr.org/119/|
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|WeNetSpeech|10,000|https://github.com/wenet-e2e/WenetSpeech|
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|KeSpeech|1,542|https://github.com/KeSpeech/KeSpeech|
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# Included Test Sets
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1. Aishell-{1,2,4}
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2. Aidatatang_200zh
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3. AliMeeting
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4. MagicData
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5. KeSpeech-ASR
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6. WeNetSpeech
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