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CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings

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arxiv 2004.09249 v2 pith:FQLJN7XH submitted 2020-04-20 cs.SD cs.CLeess.AS

CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings

Shinji Watanabe , Michael Mandel , Jon Barker , Emmanuel Vincent , Ashish Arora , Xuankai Chang , Sanjeev Khudanpur , Vimal Manohar
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Daniel Povey Desh Raj David Snyder Aswin Shanmugam Subramanian Jan Trmal Bar Ben Yair Christoph Boeddeker Zhaoheng Ni Yusuke Fujita Shota Horiguchi Naoyuki Kanda Takuya Yoshioka Neville Ryant
This is my paper
classification cs.SD cs.CLeess.AS
keywords speechrecognitionchallengemultispeakerchime-6trackunsegmentedchime
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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