Following the success of the 1st PASCAL CHiME Speech Separation and Recognition Challenge, we are happy to announce a new challenge dedicated to speech recognition in real-world reverberant, noisy conditions, that will culminate in a dedicated satellite workshop of ICASSP 2013.
The challenge is supported by the IEEE SPS Technical Committees AASP, MSLP and SLTC, and by an Industrial Board.
The challenge consists of recognising distant-microphone speech mixed in two-channel nonstationary noise recorded over a period of several weeks in a real family house. Entrants may address either one or both of the following tracks:
Medium vocabulary track: WSJ 5k sentences uttered by a static speaker
Small vocabulary track: simpler commands but small head movements
You will find everything you need to get started (and even more) on the challenge website: - a full description of the challenge, - clean, reverberated and multi-condition training and development data, - baseline training, decoding and scoring software tools based on HTK.
Submission consists of a 2- to 8-page paper describing your system and reporting its performance on the development and the test set. In addition, you are welcome to submit an earlier paper to ICASSP 2013, which will tentatively be grouped with other papers into a dedicated session.
Any approach is welcome, whether emerging or established.
If you are interested in participating, please email us so we can monitor interest and send you further updates about the challenge.
BEST CHALLENGE PAPER AWARD
The best challenge paper will distinguished by an award from the Industrial Board.
July 2012 Launch October 2012 Test set release January 15, 2013 Challenge & workshop submission deadline February 18, 2013 Paper notification & release of the challenge results June 1, 2013 ICASSP satellite workshop
Masami Akamine, Toshiba Carlos Avendano, Audience Li Deng, Microsoft Erik McDermott, Google Gautham Mysore, Adobe Atsushi Nakamura, NTT Peder A. Olsen, IBM Trausti Thormundsson, Conexant Daniel Willett, Nuance
Conexant Systems Inc. Audience Inc. Mitsubishi Electric Research Laboratories
Emmanuel Vincent, INRIA Jon Barker, University of Sheffield Shinji Watanabe & Jonathan Le Roux, MERL Francesco Nesta & Marco Matassoni, FBK-IRST