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MML 2013 : 6th International Workshop on Machine Learning and Music | |||||||||||||||
Link: https://sites.google.com/site/musicmachinelearning13/ | |||||||||||||||
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Call For Papers | |||||||||||||||
MML 2013
6th International Workshop on Machine Learning and Music Held in Conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013) Prague, Czech Republic September 23, 2013 News: MML13 authors are invited to submit an extended version of their MML contributions for publication in the Music and Machine Learning Special Issue of the Journal of New Music Research - submission deadline July 1 2013 (please find the details here). Motivation With the current explosion and quick expansion of music in digital formats, and the computational power of modern systems, research on machine learning and music is gaining increasing popularity. As complexity of the problems investigated by researchers on machine learning and music increases, there is a need to develop new algorithms and methods to solve these problems. The focus of this workshop is on novel methods which take into account or benefit from musical structure. MML 2013 aims to build on the previous five successful MML editions, MML’08, MML’09, MML'10, MML’11 and MML'12. Topics Papers in all applications on music and machine learning are welcome, including but not limited to automatic classification of music (audio and MIDI) style-based interpreter recognition automatic composition and improvisation music recommender systems, genre and tag prediction score alignment polyphonic pitch detection chord extraction pattern discovery beat tracking expressive performance modeling Audio demonstrations are encouraged when indicated by the content of the paper. Important Dates Abstract Submission Deadline: June 28, 2013 Acceptance Notification: July 19, 2013 Final versions due: August 2, 2013 Workshop Date: September 23, 2013 Submissions of Papers Extended abstracts of up to 4 printed pages in LNCS format are welcome. Extended abstracts will be evaluated according to their originality and relevance to the workshop, and should include author names, affiliations, contact information, and an abstract of 60-100 words. Authors should indicate if they have a preference for presentation as a talk or poster. Please note that, to encourage wide participation, the workshop will publish revised extended abstracts and not full papers. Contributions should be in PDF format and submitted to the workshop email address musml2013@gmail.com. LNCS format details can be found here. Registration Workshop registration will be handled by the main conference, please check ECML/PKDD'13 for more details. Organizers Rafael Ramirez, Universitat Pompeu Fabra, Spain Darrell Conklin, University of the Basque Country, Spain José Manuel Iñesta, University of Alicante, Spain Programme Committee Colin Johnson (University of Kent, UK) Mathieu Giraud (CNRS, LIFL, Université Lille 1, France) Paco Gomez (Technical University of Madrid, Spain) Tom Collins (Johannes Kepler University Linz, Austria) Fabien Gouyon (INESC Porto, Portugal) Maarten Grachten (Austrian Research Institute for Artificial Intelligence, Austria) Carlos Perez-Sancho (Alicante University, Spain) David Rizo (Alicante University, Spain) Christina Anagnostopoulou (University of Athens, Greece) Rafael Ramirez (Universitat Pompeu Fabra, Spain) Darrell Conklin (University of the Basque Country, Spain) José Manuel Iñesta (University of Alicante, Spain) |
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