Held in conjunction with the
21st International Symposium on Electronic Art
August 15, 2015
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 machine learning for music generation. MML2015 aims to build on the previous seven successful MML editions: MML2008, MML2009, MML2010, MML2011, MML2012, MML2013, and MML2014.
Theme: Machine Learning for Music Generation
Abstract Submission Deadline: May 5, 2015
Acceptance Notification: May 25, 2015
Final abstracts due: June 26, 2015
Workshop: August 15, 2015
JMM Special Issue submissions due: October 16, 2015
Submissions of extended abstracts
Extended abstracts of two printed pages in LNCS format are welcome. A third additional page may be added for references. Extended abstracts will be evaluated according to their originality and relevance to the workshop, and should include author names, affiliations, and contact information. Please note that, to encourage participation, the workshop will publish extended abstracts and not full papers. Contributions should be in PDF format and submitted to email@example.com. LNCS format details can be found here.
Journal Special Issue
Selected accepted extended abstracts from the MML2015 workshop will be invited to submit full papers to a Special Issue of the Journal of Mathematics and Music (planned publication date July 2016).
Workshop registration will be handled by the main conference, please check ISEA2015 for more details.
Rafael Ramirez, Universitat Pompeu Fabra, Spain
Darrell Conklin, University of the Basque Country, Spain
José Manuel Iñesta, University of Alicante, Spain
Session 1 (chair Darrell Conklin) (9:30-11:10)
Knowledge representation and algorithmic composition with MultiDiGraphs
Katerina Kosta, Rafael Ramirez, Oscar F. Bandtlow, Elaine Chew, and Sergio Giraldo
Trance generation by transformation