CFP: 3rd International Workshop on Machine Learning and Music (MML 2010) (Rafael Ramirez )

Subject: CFP: 3rd International Workshop on Machine Learning and Music (MML 2010) From: Rafael Ramirez <rafael.ramirez@xxxxxxxx> Date: Wed, 28 Apr 2010 12:07:03 +0200 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY> ------=_Part_3275_5938783.1272449223699 Content-Type: text/plain;charset=US-ASCII Content-Transfer-Encoding: quoted-printable Content-Disposition: inline =A0 [apologies for multiple postings] Call for papers MML 2010: 3rd International Workshop on Machine Learning and Music Firenze, Italy, October 29, 2010 http://www.dtic.upf.edu/~rramirez/MML10/ (http://www.iua.upf.es/MML08/) Held in conjunction with ACM Multimedia 2010 http://www.acmmm10.org/ (http://www.iua.upf.es/MML08/) With the current explosion and quick expansion of multimedia digital formats in general, and music digital formats in particular, research on machine learning and music is gaining increasing popularity. As complexity of the problems investigated by researchers on this area increases, there is a need to develop new algorithms and methods to solve these problems. Machine learning has proved to provide efficient solutions to many music-related problems both of academic and commercial interest. The goal of MML 2010 is to bring together researchers who are using machine learning in musical applications, providing the opportunity to promote, present and dis= cuss ongoing work in the area. The workshop is planned to last one full day, and will feature paper presentations, panel discussions and open discussions. Accepted contributions will be available from the workshop web page as soon= as possible in order to encourage active discussion during the workshop. We invite extended abstract contributions describing machine learning approaches to music processing including, but not limited to: * Sound Synthesis and Analysis * Music Classification and Generation * Formal Music Analysis * Computational Musicology / Ethnomusicology * Music Information Retrieval * Knowledge Representation and Computational Models * Printing and Optical Recognition of Music * Psychoacoustics and Music Perception * Cognitive Modeling * Adaptive Systems and Music Education * Algorithmic Composition * Interactive Performance Systems * Digital Audio Signal Processing * Cover Song Detection * Expressive Music Performance * Chord Extraction from Audio Submissions: ------------ Papers of 4 printed pages in two-column ACM proceedings format are welcome. Articles should =A0include author names, affiliations, contact information, and =A0an abstract of 70-100 words. Papers will be reviewed by= at least two members of the Workshop Committee. Paper submission will be handled through the EDAS system. Dates: ------ Submission deadline: Thursday, June 10, 2010. Acceptance notification: Saturday, July 10, 2010. Final versions due: Monday, July 20, 2010. Workshop: Friday, October 29, 2010. Program Chairs: --------------------- Rafael Ramirez (Universitat Pompeu Fabra, Spain) Darrell Conklin (Universidad del Pais Vasco, Spain) Christina Anagnostopoulou (University of Athens, Greece) Jose Manuel Inesta (Alicante University, Spain) ------=_Part_3275_5938783.1272449223699 Content-Type: text/html;charset=US-ASCII Content-Transfer-Encoding: 7bit Content-Disposition: inline <HTML><head></head><body><div> </div><div style="font-family: arial,sans-serif;" arial,sans-serif="" size="2;">[apologies for multiple postings] Call for papers MML 2010: 3rd International Workshop on Machine Learning and Music Firenze, Italy, October 29, 2010 http://www.dtic.upf.edu/~rramirez/MML10/ Held in conjunction with ACM Multimedia 2010 http://www.acmmm10.org/ With the current explosion and quick expansion of multimedia digital formats in general, and music digital formats in particular, research on machine learning and music is gaining increasing popularity. As complexity of the problems investigated by researchers on this area increases, there is a need to develop new algorithms and methods to solve these problems. Machine learning has proved to provide efficient solutions to many music-related problems both of academic and commercial interest. The goal of MML 2010 is to bring together researchers who are using machine learning in musical applications, providing the opportunity to promote, present and discuss ongoing work in the area. The workshop is planned to last one full day, and will feature paper presentations, panel discussions and open discussions. Accepted contributions will be available from the workshop web page as soon as possible in order to encourage active discussion during the workshop. We invite extended abstract contributions describing machine learning approaches to music processing including, but not limited to: * Sound Synthesis and Analysis * Music Classification and Generation * Formal Music Analysis * Computational Musicology / Ethnomusicology * Music Information Retrieval * Knowledge Representation and Computational Models * Printing and Optical Recognition of Music * Psychoacoustics and Music Perception * Cognitive Modeling * Adaptive Systems and Music Education * Algorithmic Composition * Interactive Performance Systems * Digital Audio Signal Processing * Cover Song Detection * Expressive Music Performance * Chord Extraction from Audio Submissions: ------------ Papers of 4 printed pages in two-column ACM proceedings format are welcome. Articles should  include author names, affiliations, contact information, and  an abstract of 70-100 words. Papers will be reviewed by at least two members of the Workshop Committee. Paper submission will be handled through the EDAS system. Dates: ------ Submission deadline: Thursday, June 10, 2010. Acceptance notification: Saturday, July 10, 2010. Final versions due: Monday, July 20, 2010. Workshop: Friday, October 29, 2010. Program Chairs: --------------------- Rafael Ramirez (Universitat Pompeu Fabra, Spain) Darrell Conklin (Universidad del Pais Vasco, Spain) Christina Anagnostopoulou (University of Athens, Greece) Jose Manuel Inesta (Alicante University, Spain) </div></body></HTML> ------=_Part_3275_5938783.1272449223699--

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