Aims

Following on from the successful SAPA2004 workshop (in Jeju, Korea), the objective of the SAPA2006 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.

Dan Ellis <dpwe@ee.columbia.edu>
Last updated: Wed Aug 03 02:36:10 PM EDT 2011