The second 'CHiME' speech separation and recognition challenge: An overview of challenge systems and outcomes

Emmanuel Vincent, Jon Barker, Shinji Watanabe, Jonathan Le Roux, Francesco Nesta, Marco Matassoni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

56 Citations (Scopus)

Abstract

Distant-microphone automatic speech recognition (ASR) remains a challenging goal in everyday environments involving multiple background sources and reverberation. This paper reports on the results of the 2nd 'CHiME' Challenge, an initiative designed to analyse and evaluate the performance of ASR systems in a real-world domestic environment. We discuss the rationale for the challenge and provide a summary of the datasets, tasks and baseline systems. The paper overviews the systems that were entered for the two challenge tracks: small-vocabulary with moving talker and medium-vocabulary with stationary talker. We present a summary of the challenge findings including novel results produced by challenge system combination. Possible directions for future challenges are discussed.

Original languageEnglish
Title of host publication2013 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2013 - Proceedings
Pages162-167
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2013 - Olomouc, Czech Republic
Duration: 2013 Dec 82013 Dec 13

Publication series

Name2013 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2013 - Proceedings

Other

Other2013 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2013
CountryCzech Republic
CityOlomouc
Period13/12/813/12/13

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Keywords

  • 'CHiME' Challenge
  • Noise-robust ASR

ASJC Scopus subject areas

  • Speech and Hearing

Cite this

Vincent, E., Barker, J., Watanabe, S., Le Roux, J., Nesta, F., & Matassoni, M. (2013). The second 'CHiME' speech separation and recognition challenge: An overview of challenge systems and outcomes. In 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2013 - Proceedings (pp. 162-167). [6707723] (2013 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2013 - Proceedings). https://doi.org/10.1109/ASRU.2013.6707723