Thesis linked to the implementation of the María de Maeztu Strategic Research Program.

Open access to PhD thesis carried out at the Department can be found at TDX

Please visit these pages for information on our PhD, MSc and BSc programs.


Back 10th International Workshop on Machine Learning and Music - Call for Papers


Machine learning has permeated nearly every area of music informatics, driven by a profusion of recordings available in digital audio formats, steady improvements to the accessibility and quality of symbolic corpora, availability of powerful algorithms in standard machine learning toolboxes, and theoretical advances in machine learning and data mining. 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. As a consequence, research on machine learning and music is an active and growing field reflected in international meetings such as the International Workshops on Machine Learning and Music (MML): MML2008 (Helsinki, Finland), MML2009 (Bled, Slovenia), MML2010 (Florence, Italy), MML2011 (Sierra Nevada, Spain), MML2012 (Edinburgh, Scotland), MML2013 (Prague, Czech Republic), MML2014 (Barcelona, Spain), MML2015 (Vancouver, Canada), and MML2016 (Riva del Garda, Italy).


Machine learning holds great potential for enhancing music learning.  For MML2017, in addition to general topics in music and machine learning, we warmly welcome contributions describing applications of machine learning for technology-enhanced music learning. 

Papers in all applications on music and machine learning are welcome, including but not limited to

  • intelligent music learning systems
  • machine learning applications to music learning
  • 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
  • music analysis
  • beat tracking
  • expressive performance modeling
  • similarity

Audio demonstrations are encouraged when indicated by the content of the paper.

Paper Submission Deadline: July 3, 2017
Acceptance Notification: July 30, 2017
Final versions due: August 10, 2017
Workshop Date: October 6, 2017

Papers of up to 5 printed pages in LNCS format are welcome. Submissions 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. Contributions should be in PDF format and submitted by Easychair. LNCS format details can be found here.