Welcome to MML14

MML 2014
  7th International Workshop on Machine Learning and Music

Barcelona, Spain
November 28, 2014
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 2014 aims to build on the previous six successful MML editions, MML’08MML’09MML'10MML’11,  MML'12 and 

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: November 7, 2014
Acceptance Notification: November 14, 2014
Workshop Date: November 28, 2014

Submissions of Papers
Extended abstracts of up to 2 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, and contact information. Please 
note that, to encourage 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 rafael.ramirez@upf.eduLNCS format details can be 
found here.

In order to encourage participation, registration to the Workshop will be free of charge. To register simply send an email to 
rafael.ramirez@upf.edu with your name and affiliation.

Rafael Ramirez, Universitat Pompeu Fabra, Spain
Darrell Conklin, University of the Basque Country, Spain
José Manuel Iñesta, University of Alicante, Spain

MML2014 has been partly sponsored by the Spanish TIN project TIMUL (TIN2013-48152-C2-2-R)