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CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings

Abstract : Following the success of the 1st, 2nd, 3rd, 4th and 5th CHiME challenges we organize the 6th CHiME Speech Separation and Recognition Challenge (CHiME-6). The new challenge revisits the previous CHiME-5 challenge and further considers the problem of distant multi-microphone conversational speech diarization and recognition in everyday home environments. Speech material is the same as the previous CHiME-5 recordings except for accurate array synchronization. The material was elicited using a dinner party scenario with efforts taken to capture data that is representative of natural conversational speech. This paper provides a baseline description of the CHiME-6 challenge for both segmented multispeaker speech recognition (Track 1) and unsegmented multispeaker speech recognition (Track 2). Of note, Track 2 is the first challenge activity in the community to tackle an unsegmented multispeaker speech recognition scenario with a complete set of reproducible open source baselines providing speech enhancement, speaker diarization, and speech recognition modules.
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https://hal.inria.fr/hal-02546993
Contributor : Emmanuel Vincent <>
Submitted on : Saturday, May 2, 2020 - 7:22:17 PM
Last modification on : Tuesday, October 20, 2020 - 11:02:31 AM

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Shinji Watanabe, Michael Mandel, Jon Barker, Emmanuel Vincent, Ashish Arora, et al.. CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings. CHiME 2020 - 6th International Workshop on Speech Processing in Everyday Environments, May 2020, Barcelona / Virtual, Spain. ⟨hal-02546993v2⟩

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