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The ICASSP 2022 Multi-channel Multi-party Meeting Transcription GrandChallenge (M2MeT) focuses on one of the most valuable and the most challengingscenarios of speech technologies. The M2MeT challenge has particularly set uptwo tracks, speaker diarization (track 1) and multi-speaker automatic speechrecognition (ASR) (track 2). Along with the challenge, we released 120 hours ofreal-recorded Mandarin meeting speech data with manual annotation, includingfar-field data collected by 8-channel microphone array as well as near-fielddata collected by each participants' headset microphone. We briefly describethe released dataset, track setups, baselines and summarize the challengeresults and major techniques used in the submissions.

Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge