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

TL;DR

The paper introduces the CHiME-6 challenge focused on multispeaker speech recognition in natural home environments, emphasizing unsegmented recordings and providing open-source baselines for the community.

Contribution

It presents a new challenge for unsegmented multispeaker speech recognition with comprehensive baselines, advancing research in natural conversational speech processing.

Findings

First challenge to address unsegmented multispeaker recognition

Provides reproducible open-source baselines

Focuses on natural home environment 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.