The Second 'CHiME' Speech Separation and Recognition Challenge: An overview of challenge systems and outcomes

Emmanuel Vincent 1 Jon Barker 2 Shinji Watanabe 3 Jonathan Le Roux 3 Francesco Nesta 4 Marco Matassoni 5
1 PAROLE - Analysis, perception and recognition of speech
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 Department of Computer Sciences [Scheffield]
3 MERL - Mitsubishi Electric Research Laboratories
4 Conexant Systems Inc.
5 FBK - Fondazione Bruno Kessler [Trento, Italy]
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.
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Submitted on : Tuesday, September 17, 2013 - 2:11:27 PM
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Long-term archiving on : Friday, December 20, 2013 - 2:27:40 PM

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Emmanuel Vincent, Jon Barker, Shinji Watanabe, Jonathan Le Roux, Francesco Nesta, et al.. The Second 'CHiME' Speech Separation and Recognition Challenge: An overview of challenge systems and outcomes. 2013 IEEE Automatic Speech Recognition and Understanding Workshop, Dec 2013, Olomouc, Czech Republic. ⟨hal-00862750⟩

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