MML 2017 10th International Workshop on Machine Learning and Music
OCTOBER 6, 2017 BARCELONA
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).
SPECIAL THEME: INTELLIGENT MUSIC LEARNING SYSTEMS
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.
TOPICS 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
polyphonic pitch detection
expressive performance modeling
Audio demonstrations are encouraged when indicated by the content of the paper.
IMPORTAT DATES Paper Submission Deadline: July 15, 2017 Acceptance Notification: Aug 6, 2017 Final versions due: September 3, 2017 Workshop Date: October 6, 2017
SUBMISSIONS OF PAPERS 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.
REGISTRATION Registration to the Workshop will be free of charge. However, the workshop has a limited number of places for non presenters,
SPECIAL ISSUE A special issue of a journal based on selected papers from the workshop is planned.
ORGANISERS Rafael Ramirez, Universitat Pompeu Fabra, Spain Darrell Conklin, University of the Basque Country, Spain José Manuel Iñesta, University of Alicante, Spain
PROGRAMME COMMITTEE Darrell Conklin (University of the Basque Country, Spain) Dorien Herremans (Queen Mary University of London, UK) Emmanouil Benetos (Queen Mary University of London, UK) Gualtiero Volpe (University of Genoa, Italy) Hendrik Purwins (Aalborg University, Denmark) Kerstin Neubarth (Canterbury Christ Church University, UK) José Manuel Iñesta (University of Alicante, Spain) Maarten Grachten (Austrian Research Institute for Artificial Intelligence, Austria) Maria Cristina Marinescu (Barcelona Supercomputing Centre, Spain) Miguel Molina (Imperial College London, UK) Peter van Kranenburg (Meertens Institute, Netherlands) Rafael Ramirez (Universitat Pompeu Fabra, Spain) Sergio Giraldo (Universitat Pompeu Fabra, Spain) Tillman Weyde (City University London, UK) Pierre Ponce de Leon (University of Alicante, Spain) Victor Padilla (International University of la Rioja, Spain) Zacharias Vamvakousis (Universitat Pompeu Fabra, Spain)