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| | | | [**News**](https://github.com/alibaba-damo-academy/FunASR#whats-new) |
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| | | | [**Installation**](#installation) |
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| | | | [**Quick Start**](#quick-start) |
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| | | | [**Runtime**](./funasr/runtime/readme.md) |
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| | | | [**Runtime**](./runtime/readme.md) |
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| | | | [**Model Zoo**](./docs/model_zoo/modelscope_models.md) |
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| | | | [**Contact**](#contact) |
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| | | <a name="whats-new"></a> |
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| | | ## What's new: |
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| | | - 2023/10/17: The offline file transcription service (CPU) of English has been released. For more details, please refer to ([Deployment documentation](funasr/runtime/docs/SDK_tutorial_en.md)). |
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| | | - 2023/10/13: [SlideSpeech](https://slidespeech.github.io/): A large scale multi-modal audio-visual corpus with a significant amount of real-time synchronized slides. |
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| | | - 2023/10/10: The ASR-SpeakersDiarization combined pipeline [Paraformer-VAD-SPK](https://github.com/alibaba-damo-academy/FunASR/blob/main/egs_modelscope/asr_vad_spk/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/demo.py) is now released. Experience the model to get recognition results with speaker information. |
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| | | - 2023/10/07: [FunCodec](https://github.com/alibaba-damo-academy/FunCodec): A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec. |
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| | | - 2023/09/01: The offline file transcription service 2.0 (CPU) of Mandarin has been released, with added support for ffmpeg, timestamp, and hotword models. For more details, please refer to ([Deployment documentation](funasr/runtime/docs/SDK_tutorial.md)). |
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| | | - 2023/08/07: The real-time transcription service (CPU) of Mandarin has been released. For more details, please refer to ([Deployment documentation](funasr/runtime/docs/SDK_tutorial_online.md)). |
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| | | - 2023/07/17: BAT is released, which is a low-latency and low-memory-consumption RNN-T model. For more details, please refer to ([BAT](egs/aishell/bat)). |
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| | | - 2023/07/03: The offline file transcription service (CPU) of Mandarin has been released. For more details, please refer to ([Deployment documentation](funasr/runtime/docs/SDK_tutorial.md)). |
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| | | - 2023/06/26: ASRU2023 Multi-Channel Multi-Party Meeting Transcription Challenge 2.0 completed the competition and announced the results. For more details, please refer to ([M2MeT2.0](https://alibaba-damo-academy.github.io/FunASR/m2met2/index.html)). |
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