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| | | ASRU 2023 MULTI-CHANNEL MULTI-PARTY MEETING TRANSCRIPTION CHALLENGE 2.0 (M2MeT2.0) |
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| | | Building on the success of the M2MeT challenge, we are pleased to announce the M2MeT2.0 challenge as an ASRU2023 Signal Processing Grand Challenge. |
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| | | To further advance the current multi-talker ASR system to practicality, the M2MeT2.0 challenge proposes the speaker-attribute ASR task with two sub-tracks performing in fixed and open training conditions. |
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| | | We provide a detailed introduction of the dataset, rules, baseline systems, and evaluation methods to further promote reproducible research in this field. |
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| | | Building on the success of the M2MeT challenge, we are delighted to propose the M2MeT2.0 challenge as a special session at ASRU2023. |
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| | | To advance the current state-of-the-art in multi-talker automatic speech recognition, the M2MeT2.0 challenge proposes a speaker-attributed ASR task, comprising two sub-tracks: fixed and open training conditions. |
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| | | To facilitate reproducible research, we provide a comprehensive overview of the dataset, challenge rules, evaluation metrics, and baseline systems. |
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| | | .. toctree:: |
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| | | :maxdepth: 1 |
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| | | :caption: Contents: |
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| | | ./Introduction |
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| | | ./Dataset |
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| | | ./Track_setting_and_evaluation |
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| | | ./Baseline |
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| | | ./Rules |
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| | | ./Organizers |
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| | | ./Contact |
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| | | Indices and tables |
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| | | ================== |
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