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| | | [](https://pypi.org/project/funasr/) |
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| | | <p align="center"> |
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| | | <a href="https://trendshift.io/repositories/3839" target="_blank"><img src="https://trendshift.io/api/badge/repositories/3839" alt="alibaba-damo-academy%2FFunASR | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> |
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| | | </p> |
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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, 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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| | | | [**Contact**](#contact) |
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| | | <a name="highlights"></a> |
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| | | ## Highlights |
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| | | - FunASR is a fundamental speech recognition toolkit that offers a variety of features, including speech recognition (ASR), Voice Activity Detection (VAD), Punctuation Restoration, Language Models, Speaker Verification, Speaker Diarization and multi-talker ASR. FunASR provides convenient scripts and tutorials, supporting inference and fine-tuning of pre-trained models. |
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