Call for participation
ICML 2009 Workshop on
Sparse Methods for Music Audio
http://www.iro.umontreal.ca/~gamme/icml2009_sparsemusic/
In conjunction with the 26th International Conference on Machine Learning, Montreal, Quebec, June 14 - 18, 2009
Description
Sparse coding is gaining attention as alternative to traditional, orthogonal-basis approaches, able to find more interesting or more useful solutions to underconstrained, high-dimensional problems. Music audio provides an excellent candidate for sparse coding, being very high dimensional (e.g. over 80,000 values in one second of music from a CD), yet usefully described as the combination of a small number of separate signals -- such as individual instruments -- each subject to a large number of mutual constraints. This description can be applied at multiple levels, from the raw audio through to compositional structure.
There have been only a few publications on applying sparse techniques in music. The goal of the workshop is to bring together researchers with an interest in this topic, to focus, develop, and refine the various perspectives and approaches possible. We hope to raise the profile of these ideas, both to those already working with music audio, and to machine learning researchers who may be curious about working with music audio data.
Topics
Since this is an exploratory workshop, we solicit contributions that relate to sparse methods in music audio, interpreted in the broadest possible sense. Particular topics include:
- audio classification
- music recommendation
- music structure discovery/recovery
- polyphonic pitch extraction
- scene analysis/source separation
- measures of music similarity
- auditory perception models
- music audio representation and coding
The workshop will consist of several invited talks, a poster session, and plenty of time for discussions. Speakers will include:
- Patrick Wolfe, Harvard University
- Andrew Nesbitt, Queen Mary University of London
- Mikkel Schmidt, Technical University of Denmark
Submission Information
We invite prospective participants to submit a one or two page abstract describing their research addressing the workshop theme. Abstracts should be sent via email in PDF format to Philippe Hamel <higgsbosonh@hotmail.com>. Submissions must be received by April 15th.
Each submissions will be reviewed by the organizing committee. A notification of acceptance will be sent by May 7th. Authors will be asked to submit a final version of their submission to be posted on the workshop website.
Important Dates
- April 15, 2009 Submission due date
- May 7, 2009 Author notification date
- June 1, 2009 Final version ready
- June 14-18, 2009 ICML 2009 Conference
- June 18, 2009 Workshop Date
Organizers
- Douglas Eck
- Associate Professor, University of Montreal Computer Science
LISA Machine Learning Lab / BRAMS International Laboratory for Research in Brain Music and Sound - Dan Ellis
- Associate Professor, Electrical Engineering, Columbia University
LabROSA Laboratory for the Recognition and Organization of Speech and Audio - Philippe Hamel
- PhD Candidate, University of Montreal Computer Science
LISA Machine Learning Lab / BRAMS International Laboratory for Research in Brain Music and Sound
A text version of this document is also available.