Can I read The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization on EtoBox?

The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization by Cornell, Samuele; Park, Taejin; Huang, Steve; Boeddeker, Christoph; Chang, Xuankai; Maciejewski, Matthew; Wiesner, Matthew; Garcia, Paola; Watanabe, Shinji is a scholarly article available to read on EtoBox.

What is The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization about?

This paper presents the CHiME-8 DASR challenge which carries on from the previous edition CHiME-7 DASR (C7DASR) and the past CHiME-6 challenge. It focuses on joint multi-channel distant speech recognition (DASR) and diarization with one or more, possibly heterogeneous, devices. The main goal is to spur research towards meeting transcription approaches that can generalize across arbitrary number of speakers, diverse settings (formal vs. informal conversations), meeting duration, wide-variety of acoustic scenarios and different recording configurations. Novelties with respect to C7DASR include: i) the addition of NOTSOFAR-1, an additional office/corporate meeting scenario, ii) a manually corrected Mixer 6 development set, iii) a new track in which we allow the use of large-language models (LLM) iv) a jury award mechanism to encourage participants to explore also more practical and innovative solutions. To lower the entry barrier for participants, we provide a standalone toolkit for downloading and preparing such datasets as well as performing text normalization and scoring their submissions. Furthermore, this year we also provide two baseline systems, one directly inherited from C7DA

Author

Cornell, Samuele; Park, Taejin; Huang, Steve; Boeddeker, Christoph; Chang, Xuankai; Maciejewski, Matthew; Wiesner, Matthew; Garcia, Paola; Watanabe, Shinji

Published

2024

Language

EN