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| | | | [**M2MET2.0 Challenge**](https://github.com/alibaba-damo-academy/FunASR#multi-channel-multi-party-meeting-transcription-20-m2met20-challenge) |
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| | | |
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| | | ## What's new: |
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| | | |
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| | | ### FunASR runtime-SDK |
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| | | - 2023.07.02: |
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| | | We have release the FunASR runtime-SDK-0.1.0, file transcription service (Mandarin) is now supported ([ZH](funasr/runtime/readme_cn.md)/[EN](funasr/runtime/readme.md)) |
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| | | |
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| | | ### Multi-Channel Multi-Party Meeting Transcription 2.0 (M2MeT2.0) Challenge |
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| | | We are pleased to announce that the M2MeT2.0 challenge has been accepted by the ASRU 2023 challenge special session. The registration is now open. The baseline system is conducted on FunASR and is provided as a receipe of AliMeeting corpus. For more details you can see the guidence of M2MET2.0 ([CN](https://alibaba-damo-academy.github.io/FunASR/m2met2_cn/index.html)/[EN](https://alibaba-damo-academy.github.io/FunASR/m2met2/index.html)). |
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| | | |
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| | | ### Release notes |
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| | | |
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| | | For the release notes, please ref to [news](https://github.com/alibaba-damo-academy/FunASR/releases) |
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| | | |
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| | | ## Highlights |
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| | | |
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| | | Install from pip |
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| | | ```shell |
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| | | pip install -U funasr |
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| | | pip3 install -U funasr |
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| | | # For the users in China, you could install with the command: |
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| | | # pip install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple |
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| | | # pip3 install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple |
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| | | ``` |
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| | | |
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| | | Or install from source code |
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| | | |
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| | | For the server: |
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| | | ```shell |
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| | | cd funasr/runtime/python/websocket |
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| | | python wss_srv_asr.py --port 10095 |
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| | | ``` |
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| | | |
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| | | For the client: |
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| | | ```shell |
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| | | python wss_client_asr.py --host "0.0.0.0" --port 10095 --mode 2pass --chunk_size "5,10,5" |
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| | | #python wss_client_asr.py --host "0.0.0.0" --port 10095 --mode 2pass --chunk_size "8,8,4" --audio_in "./data/wav.scp" --output_dir "./results" |
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| | | python wss_client_asr.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "5,10,5" |
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| | | #python wss_client_asr.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "8,8,4" --audio_in "./data/wav.scp" --output_dir "./results" |
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| | | ``` |
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| | | More examples could be found in [docs](https://alibaba-damo-academy.github.io/FunASR/en/runtime/websocket_python.html#id2) |
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| | | ## Contact |
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