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| | | # FunASR: A Fundamental End-to-End Speech Recognition Toolkit |
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| | | <strong>FunASR</strong> hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model released on [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition), researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun！[Model Zoo](docs/modelscope_models.md) |
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| | | <strong>FunASR</strong> hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model released on [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition), researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun！ |
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| | | ## Release Notes: |
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| | | ### 2023.1.16, funasr-0.1.6 |
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| | | ``` |
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| | | For more details, please ref to [installation](https://github.com/alibaba-damo-academy/FunASR/wiki) |
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| | | ## Usage |
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| | | For users who are new to FunASR and ModelScope, please refer to [FunASR Docs](https://alibaba-damo-academy.github.io/FunASR/index.html). |
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| | | ## Contact |
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| | | If you have any questions about FunASR, please contact us by |
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