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‎_modules/index.html‎

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‎_modules/wenet/dataset/wav_distortion.html‎

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‎_sources/pretrained_models.en.md.txt‎

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‎_sources/pretrained_models.md.txt‎

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## Model List
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Here is a list of the pretrained models on different datasets.
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For non-Chinese users, please visit [Pretrained Models(En)](./pretrained_models.en.md) to download.
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Here is a list of the pretrained models on different datasets. The model structure, model size, and download link are given.
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| Datasets | Languages | Checkpoint Model | Runtime Model | Contributor |
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|--- |--- |--- |--- |--- |
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| [aishell](../examples/aishell/s0/README.md) | CN | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | <a href="https://www.chumenwenwen.com" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/chumenwenwen.png" width="100px"></a> |
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| [aishell2](../examples/aishell2/s0/README.md) | CN | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | <a href="https://www.chumenwenwen.com" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/chumenwenwen.png" width="100px"></a> |
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| [gigaspeech](../examples/gigaspeech/s0/README.md) | EN | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | <a href="https://www.chumenwenwen.com" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/chumenwenwen.png" width="100px"></a> |
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| [librispeech](../examples/librispeech/s0/README.md) | EN | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | <a href="https://www.chumenwenwen.com" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/chumenwenwen.png" width="100px"></a> |
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| [multi_cn](../examples/multi_cn/s0/README.md) | CN | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | <a href="https://www.jd.com" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/jd.jpeg" width="100px"></a> |
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| [wenetspeech](../examples/wenetspeech/s0/README.md) | CN | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | [Conformer](https://docs.qq.com/form/page/DZnRkVHlnUk5QaFdC) | <a href="https://horizon.ai" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/hobot.png" width="100px"></a> |
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| [aishell](../examples/aishell/s0/README.md) | CN | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=aishell_u2pp_conformer_exp.tar.gz) | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=aishell_u2pp_conformer_libtorch.tar.gz) | <a href="https://www.chumenwenwen.com" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/chumenwenwen.png" width="100px"></a> |
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| [aishell2](../examples/aishell2/s0/README.md) | CN | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=aishell2_u2pp_conformer_exp.tar.gz) | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=aishell2_u2pp_conformer_libtorch.tar.gz) | <a href="https://www.chumenwenwen.com" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/chumenwenwen.png" width="100px"></a> |
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| [gigaspeech](../examples/gigaspeech/s0/README.md) | EN | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=gigaspeech_u2pp_conformer_exp.tar.gz) | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=gigaspeech_u2pp_conformer_libtorch.tar.gz) | <a href="https://www.chumenwenwen.com" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/chumenwenwen.png" width="100px"></a> |
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| [librispeech](../examples/librispeech/s0/README.md) | EN | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=librispeech_u2pp_conformer_exp.tar.gz) | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=librispeech_u2pp_conformer_libtorch.tar.gz) | <a href="https://www.chumenwenwen.com" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/chumenwenwen.png" width="100px"></a> |
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| [multi_cn](../examples/multi_cn/s0/README.md) | CN | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=multi_cn_unified_conformer_exp.tar.gz) | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=multi_cn_unified_conformer_libtorch.tar.gz) | <a href="https://www.jd.com" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/jd.jpeg" width="100px"></a> |
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| [wenetspeech](../examples/wenetspeech/s0/README.md) | CN | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=wenetspeech_u2pp_conformer_exp.tar.gz) | [Conformer](https://wenet.org.cn/downloads?models=wenet&version=wenetspeech_u2pp_conformer_libtorch.tar.gz) | <a href="https://horizon.ai" target="_blank"><img src="https://raw.githubusercontent.com/wenet-e2e/wenet-contributors/main/companies/hobot.png" width="100px"></a> |
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| paraformer | CN&EN | [Model](https://wenet.org.cn/downloads?models=wenet&version=paraformer.tar.gz) | NA | Alibaba |
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| firered | CN&EN | [Model](https://wenet.org.cn/downloads?models=wenet&version=firered.tar.gz) | NA | FireRed |
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| whisper-large-v3 | multi-lingual | [Model](https://wenet.org.cn/downloads?models=wenet&version=whisper-large-v3.tar.gz) | NA | OpenAI |
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| whisper-large-v3-turbo | multi-lingual | [Model](https://wenet.org.cn/downloads?models=wenet&version=whisper-large-v3-turbo.tar.gz) | NA | OpenAI |

‎genindex.html‎

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<h1 id="index">Index</h1>
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<div class="genindex-jumpbox">
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<a href="#A"><strong>A</strong></a>
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| <a href="#D"><strong>D</strong></a>
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| <a href="#G"><strong>G</strong></a>
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| <a href="#M"><strong>M</strong></a>
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<a href="#M"><strong>M</strong></a>
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| <a href="#W"><strong>W</strong></a>
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</div>
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<h2 id="A">A</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="python_api/wenet.dataset.wav_distortion.html#wenet.dataset.wav_distortion.amp2db">amp2db() (in module wenet.dataset.wav_distortion)</a>
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<h2 id="D">D</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="python_api/wenet.dataset.wav_distortion.html#wenet.dataset.wav_distortion.db2amp">db2amp() (in module wenet.dataset.wav_distortion)</a>
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<li><a href="python_api/wenet.dataset.wav_distortion.html#wenet.dataset.wav_distortion.distort">distort() (in module wenet.dataset.wav_distortion)</a>
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<li><a href="python_api/wenet.dataset.wav_distortion.html#wenet.dataset.wav_distortion.distort_chain">distort_chain() (in module wenet.dataset.wav_distortion)</a>
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<li><a href="python_api/wenet.dataset.wav_distortion.html#wenet.dataset.wav_distortion.generate_amp_mask">generate_amp_mask() (in module wenet.dataset.wav_distortion)</a>
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<li><a href="python_api/wenet.dataset.wav_distortion.html#wenet.dataset.wav_distortion.make_fence_distortion">make_fence_distortion() (in module wenet.dataset.wav_distortion)</a>
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<li><a href="python_api/wenet.dataset.wav_distortion.html#wenet.dataset.wav_distortion.make_gain_db">make_gain_db() (in module wenet.dataset.wav_distortion)</a>
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<li><a href="python_api/wenet.dataset.wav_distortion.html#wenet.dataset.wav_distortion.make_jag_distortion">make_jag_distortion() (in module wenet.dataset.wav_distortion)</a>
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‎objects.inv‎

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