The third 'CHiME' speech separation and recognition challenge: Dataset, task and baselines

Jon Barker, Ricard Marxer, Emmanuel Vincent, Shinji Watanabe

研究成果: Conference contribution

344 被引用数 (Scopus)

抄録

The CHiME challenge series aims to advance far field speech recognition technology by promoting research at the interface of signal processing and automatic speech recognition. This paper presents the design and outcomes of the 3rd CHiME Challenge, which targets the performance of automatic speech recognition in a real-world, commercially-motivated scenario: a person talking to a tablet device that has been fitted with a six-channel microphone array. The paper describes the data collection, the task definition and the baseline systems for data simulation, enhancement and recognition. The paper then presents an overview of the 26 systems that were submitted to the challenge focusing on the strategies that proved to be most successful relative to the MVDR array processing and DNN acoustic modeling reference system. Challenge findings related to the role of simulated data in system training and evaluation are discussed.

本文言語English
ホスト出版物のタイトル2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ504-511
ページ数8
ISBN(電子版)9781479972913
DOI
出版ステータスPublished - 2016 2 10
外部発表はい
イベントIEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Scottsdale, United States
継続期間: 2015 12 132015 12 17

出版物シリーズ

名前2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings

Other

OtherIEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015
CountryUnited States
CityScottsdale
Period15/12/1315/12/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

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