{"id":701647,"date":"2020-10-27T13:37:52","date_gmt":"2020-10-27T20:37:52","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=701647"},"modified":"2021-10-17T23:03:27","modified_gmt":"2021-10-18T06:03:27","slug":"chime-6-challenge-tackling-multispeaker-speech-recognition-for-unsegmented-recordings","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/chime-6-challenge-tackling-multispeaker-speech-recognition-for-unsegmented-recordings\/","title":{"rendered":"CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings"},"content":{"rendered":"<p>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.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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 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