Ì sphinx.addnodesdocument)}( rawsource children](docutils.nodescomment)}(hËm2met2 documentation master file, created by
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sphinx-quickstart on Tue Apr 11 14:18:55 2023.
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contain the root `toctree` directive.h]h TextËm2met2 documentation master file, created by
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sphinx-quickstart on Tue Apr 11 14:18:55 2023.
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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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hh _documenthsource7/mnt/yhliang/workspace/FunASR/docs_m2met2_tmp/index.rstlineKubh section)}(hhh](h title)}(hRASRU 2023 MULTI-CHANNEL MULTI-PARTY MEETING TRANSCRIPTION CHALLENGE 2.0 (M2MeT2.0)h]hRASRU 2023 MULTI-CHANNEL MULTI-PARTY MEETING TRANSCRIPTION CHALLENGE 2.0 (M2MeT2.0)
}(hh1h&hh'Nh)Nubah}(h]h]h]h]h!]uh%h/hh,h&hh'h(h)Kubh paragraph)}(hXì 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.h]hXì 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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