CRAC: Workshop on Consistent & Reliable Acoustic Cues

[Dan Ellis <dpwe@xxxxxxxxxxxxxxx>]

Please pass on the enclosed workshop announcement to any interested
colleagues, and please accept my apologies if you receive multiple
copies.  Thanks!

-- DAn Ellis <dpwe@ee.columbia.edu> http://www.ee.columbia.edu/~dpwe/
   Dept. of Elec. Eng., Columbia University, New York NY 10027  (212) 854-8928

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Call for papers:                CRAC

                 Consistent & Reliable Acoustic Cues
                          for sound analysis

           One-day workshop directly before Eurospeech-2001
             Aalborg, Denmark, Sunday September 2nd, 2001

   http://www.ee.columbia.edu/crac/             crac@ee.columbia.edu

CRAC is concerned with finding and exploiting reliable information
in complex and distorted acoustic mixtures.  The workshop aims to
strengthen connections between research in robust speech recognition
and recent techniques for separating information in acoustic mixtures.
We invite original submissions on the following topics:

 - Identifying sources and extracting information in realistic acoustic
   environments, including:
    - Auditory modelling         - Computational auditory scene analysis
    - Blind source separation    - SNR estimation
    - Confidence measures
 - Robust speech recognition strategies, including:
    - Missing data techniques    - Noise modeling and compensation
    - Multi-stream recognition
 - Applications to nonspeech acoustic sources such as musical instrument
   segregation and identification
 - Psychoacoustics of corrupt and noisy speech and audio perception
 - Combinations of any of the above, such as robust speech recognition
   based on computational auditory scene analysis

The submission date for 500 word abstracts is April 30th 2001

For more information, please see:  http://www.ee.columbia.edu/crac/

Organizing committee:
  Dan Ellis, Columbia University      )
  Martin Cooke, Sheffield University  ) co-chairs
  Frederic Berthommier, ICP Grenoble
  Andrzej Drygajlo, Ecole Polytechnique Federale de Lausanne
  Phil Green, Sheffield University
  Andrew Morris, Institut Dalle Molle d'Intelligence Artificelle Perceptive
  Hiroshi Gitchang Okuno, Science University of Tokyo

(Organized as part of European Commission project RESPITE.)
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