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ISCA Tutorial and Research Workshop on
Statistical And Perceptual Audition
SAPA 2008

21 September 2008, Brisbane, Australia
http://www.sapa2008.org/
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Papers are solicited for the 2008 Workshop on Statistical and Perceptual Audition (SAPA2008), to be held in Brisbane, Australia as a satellite to Interspeech 2008.

Following on from the successes of SAPA2004 (in Jeju, Korea), and SAPA2006 (in Pittsburgh, USA), the objective of the SAPA2008 workshop is to bring together researchers considering perceptually-motivated problems in sound and speech analysis and understanding, employing statistical and machine learning tools.

There is a wide area of overlap between more heuristic models of human auditory function and purely pattern recognition approaches that are independent of human audition; SAPA aims to be the forum for presentation and discussion of this promising and expanding field.

This will be a one-day workshop with a limited number of oral presentations, chosen for breadth and provocation, and an informal atmosphere to promote discussion. We hope that the participants in the workshop will be exposed to a broader perspective, and that this will help foster new research and interesting variants on current approaches.

Papers describing relevant research and new concepts are solicited on, but not limited to, the following topics:

  • Generalized audio analysis
  • Speech analysis
  • Music analysis
  • Audio classificationy
  • Scene analysis
  • Signal separation
  • Speech recognition
  • Multi-channel analysis

In all cases, preference will be given to papers that clearly involve both perceptually-defined or perceptually-related problems, and statistical or machine-learning based solutions.

Manuscripts must be between 4 and 6 pages long, in standard Interspeech double-column format. Accepted papers will be published in the workshop proceedings.

Papers must be recieved by 21 April 2008 (two weeks after the Interspeech deadline). The results of the paper review will be posted by 16 June 2008 (same as Interspeech).

Organizers

Dr. Bhiksha Raj
Research Scientist
Mitsubishi Electric Research Labs,
Cambridge, MA 02139
bhiksha@merl.com
Prof. Daniel Ellis
Associate Professor
Columbia University
New York, NY 10027
dpwe@ee.columbia.edu
Dr. Paris Smaragdis
Research Scientist
Adobe Advanced Technology Labs,
Newton, MA 02139
paris@media.mit.edu
Prof. Patrick J. Wolfe
Assistant Professor
Harvard University
Cambridge, MA 02137
p.wolfe@ieee.org
Dr. Shoji Makino
NTT Communication Science Laboratories
NTT Corporation
Kyoto, Japan
maki@cslab.kecl.ntt.co.jp

Sponsors

MERL Columbia University

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Last updated: Tue Nov 27 13:08:40 EST 2007