MOTIVATION
Machine learning and artificial intelligence have 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 the complexity of the problems investigated by researchers on machine learning and music increases, there is a need to develop new algorithms and methods. 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): 2008 (ICML, Helsinki, Finland), 2009 (ECML, Bled, Slovenia), 2010 (ACM-MM, Florence, Italy), 2011 (NIPS, Sierra Nevada, Spain), 2012 (ICML, Edinburgh, Scotland), 2013 (ECML/PKDD, Prague, Czech Republic), 2014 (Barcelona, Spain), 2015 (ISEA, Vancouver, Canada), 2016 (ECML/PKDD, Riva del Garda, Italy), 2017 (Barcelona, Spain), and 2018 (ICML, Stockholm, Sweden).
TOPICS
Papers in all applications on music and machine learning are welcome, including but not limited to
IMPORTANT DATES
Paper Submission Deadline: July 12, 2019
Acceptance Notification: July 20, 2019
Early Registration Deadline: July 26, 2019
Workshop Date: September 16, 2019
SUBMISSIONS OF PAPERS
Papers of up to 6 printed pages (including references) 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 via Easychair following this link. LNCS format details can be found here.
REGISTRATION
Registration to the Workshop will be handled by ECML/PKDD 2019. Please note that at least one author of each accepted paper should register for the conference.
PROCEEDINGS
Accepted papers will be published by Springer Verlag under their Lecture Notes in Computer Science (LNCS) series.
ORGANISERS
Rafael Ramirez, Universitat Pompeu Fabra, Spain (rafael.ramirez@upf.edu)
Darrell Conklin, University of the Basque Country, Spain (darrell.conklin@ehu.eus)
José Manuel Iñesta, University of Alicante, Spain (inesta@dlsi.ua.es)
PROGRAMME COMMITTEE
Alexander Pacha (Vienna University of Technology, Austria)
Arthur Flexer (Austrian Research Institute for Artificial Intelligence, Austria)
Ching-Hua Chuan (University of Miami, USA)
Darrell Conklin (University of the Basque Country, Spain)
David Sears (Texas Tech University, USA)
Eita Nakamura (Kyoto University, Japan)
Fabio Muneratti (Universitat Pompeu Fabra, Spain)
Gualtiero Volpe (University of Genoa, Italy)
Iris Yuping Ren (Utrecht University, The Netherlands)
Jorge Calvo-Zaragoza (University of Alicante, Spain)
José Manuel Iñesta (University of Alicante, Spain)
Kerstin Neubarth (Europa-Universität Flensburg, Germany)
Maarten Grachten (Austrian Research Institute for Artificial Intelligence, Austria)
Nadine Kroher (MXX, UK)
Rafael Ramirez (Universitat Pompeu Fabra, Spain)
Shinji Sako (Nagoya Institute of Technology, Japan)
Tetsuro Kitahara (Nihon University, Japan)
Sergio Giraldo Universitat Pompeu Fabra, Spain)
Anna Huang (Google)
Dorien Herremans (Singapore University of Technology and Design)
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
- deep learning for music processing
- similarity
IMPORTANT DATES
Paper Submission Deadline: July 12, 2019
Acceptance Notification: July 20, 2019
Early Registration Deadline: July 26, 2019
Workshop Date: September 16, 2019
SUBMISSIONS OF PAPERS
Papers of up to 6 printed pages (including references) 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 via Easychair following this link. LNCS format details can be found here.
REGISTRATION
Registration to the Workshop will be handled by ECML/PKDD 2019. Please note that at least one author of each accepted paper should register for the conference.
PROCEEDINGS
Accepted papers will be published by Springer Verlag under their Lecture Notes in Computer Science (LNCS) series.
ORGANISERS
Rafael Ramirez, Universitat Pompeu Fabra, Spain (rafael.ramirez@upf.edu)
Darrell Conklin, University of the Basque Country, Spain (darrell.conklin@ehu.eus)
José Manuel Iñesta, University of Alicante, Spain (inesta@dlsi.ua.es)
PROGRAMME COMMITTEE
Alexander Pacha (Vienna University of Technology, Austria)
Arthur Flexer (Austrian Research Institute for Artificial Intelligence, Austria)
Ching-Hua Chuan (University of Miami, USA)
Darrell Conklin (University of the Basque Country, Spain)
David Sears (Texas Tech University, USA)
Eita Nakamura (Kyoto University, Japan)
Fabio Muneratti (Universitat Pompeu Fabra, Spain)
Gualtiero Volpe (University of Genoa, Italy)
Iris Yuping Ren (Utrecht University, The Netherlands)
Jorge Calvo-Zaragoza (University of Alicante, Spain)
José Manuel Iñesta (University of Alicante, Spain)
Kerstin Neubarth (Europa-Universität Flensburg, Germany)
Maarten Grachten (Austrian Research Institute for Artificial Intelligence, Austria)
Nadine Kroher (MXX, UK)
Rafael Ramirez (Universitat Pompeu Fabra, Spain)
Shinji Sako (Nagoya Institute of Technology, Japan)
Tetsuro Kitahara (Nihon University, Japan)
Sergio Giraldo Universitat Pompeu Fabra, Spain)
Anna Huang (Google)
Dorien Herremans (Singapore University of Technology and Design)
|
|
|
