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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>
16 lines
809 B
Markdown
16 lines
809 B
Markdown
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# Introduction
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This recipe includes some different pretrained ASR models' decoding results with [SpeechIO](https://github.com/SpeechColab/Leaderboard) test sets.
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[./RESULTS.md](./RESULTS.md) contains the latest results.
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# Pretrained Models
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The following table lists the pretrained models.
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| | Huggingface | Comment |
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| `zipformer` | zrjin/icefall-asr-multi-zh-hans-zipformer-ctc-2023-10-24 | Using [multi-hans-zh recipe](../../multi_zh-hans/ASR/zipformer/) training | |
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| `whisper` | yuekai/icefall_asr_wenetspeech_whisper | Using [wenetspeech recipe](../../wenetspeech/ASR/whisper/) training |
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