Call for Papers: 15th International Workshop on Machine Learning and Music
Rafael Ramirez Melendez
[apologies for multiple postings]
CALL FOR PAPERS
September 9, 2024 Vilnius, Lithuania
In Conjunction with ECML/PKDD 2024
https://mml2024.weebly.com/
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), 2018 (ICML, Stockholm, Sweden),
2019 (ECML, Würzburg, Germany), 2020 (ECML-PKDD, virtual), and
2021 (Barcelona and online)..
TOPICS
Papers in all applications on music and machine learning are
welcome, including but not limited to generative music systems,
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.
Audio demonstrations are encouraged when indicated by the content
of the paper.
IMPORTANT DATES
Paper Submission Deadline: June 15, 2024
Acceptance Notification: July 15, 2024
Early Registration Deadline: July 26, 2024
Workshop Date: September 9, 2024
SUBMISSIONS OF PAPERS
Papers of 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 the ECML-PKDD submission system. LNCS format details
can be found here.
REGISTRATION
Registration to the Workshop will be handled by ECML/PKDD 2024.
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
Communications in Computer and Information Science (CCIS) series.
ORGANISERS
Rafael Ramirez, Universitat Pompeu Fabra, Spain
(rafael....@upf.edu)
Darrell Conklin, University of the Basque Country, Spain
(darrell...@ehu.eus)
José Manuel Iñesta, University of Alicante, Spain
(ine...@dlsi.ua.es)
Rafael Ramirez Melendez
PROGRAMME
COMMITTEE
David
Meredith (Aalborg University)
David
Rizo (Alicante School of Arts)
Darrell
Conklin (Universidad del Pais Vasco)
Dorien
Herremans (Singapore University of Technology and Design)
Ichiro
Fujinaga (McGill University)
Jan
Hajic jr (Charles University)
Jorge
Calvo-Zaragoza (University of Alicante)
Jose
Manuel Iñesta (University of Alicante)
Kjel
Lemstrom (University of Helsinki)
Lonce
Wyse (Universitat Pompeu Fabra)
Maarten
Grachten (independent Consultant)
Peter
Harrison (University of Cambridge)
Peter
van Kranenburg (Utrecht University)
Rafael
Ramirez (Universitat Pompeu Fabra)
Raquel
Lucena (Universitat Pompeu Fabra)
Rafael Ramirez Melendez
[apologies for multiple postings]
Submission deadline extended: June 25, 2024
CALL FOR PAPERS
September 9, 2024 Vilnius, Lithuania
In Conjunction with ECML/PKDD 2024
https://mml2024.weebly.com/
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), 2018 (ICML, Stockholm, Sweden), 2019
(ECML, Würzburg, Germany), 2020 (ECML-PKDD, virtual), and 2021
(Barcelona and online)..
TOPICS
Papers in all applications on music and machine learning are
welcome, including but not limited to generative music
systems, 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.
Audio demonstrations are encouraged when indicated by the
content of the paper.
IMPORTANT DATES
Paper Submission Deadline: June 25, 2024