posted by user: md || 3054 views || tracked by 7 users: [display]

MML 2013 : 6th International Workshop on Machine Learning and Music

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/site/musicmachinelearning13/
 
When Sep 23, 2013 - Sep 23, 2013
Where Prague, Czech Republic
Submission Deadline Jun 28, 2013
Notification Due Jul 19, 2013
Final Version Due Aug 2, 2013
Categories    MIR   machine learning   music
 

Call For Papers

MML 2013
6th International Workshop on Machine Learning and Music

Held in Conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013)
Prague, Czech Republic
September 23, 2013

News: MML13 authors are invited to submit an extended version of their MML contributions for publication in the Music and Machine Learning Special Issue of the Journal of New Music Research - submission deadline July 1 2013 (please find the details here).

Motivation
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 2013 aims to build on the previous five successful MML editions, MML’08, MML’09, MML'10, MML’11 and MML'12.

Topics
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: June 28, 2013
Acceptance Notification: July 19, 2013
Final versions due: August 2, 2013
Workshop Date: September 23, 2013

Submissions of Papers
Extended abstracts of up to 4 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, contact information, and an abstract of 60-100 words. Authors should indicate if they have a preference for presentation as a talk or poster. Please note that, to encourage wide 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 musml2013@gmail.com. LNCS format details can be found here.

Registration
Workshop registration will be handled by the main conference, please check ECML/PKDD'13 for more details.

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

Programme Committee
Colin Johnson (University of Kent, UK)
Mathieu Giraud (CNRS, LIFL, Université Lille 1, France)
Paco Gomez (Technical University of Madrid, Spain)
Tom Collins (Johannes Kepler University Linz, Austria)
Fabien Gouyon (INESC Porto, Portugal)
Maarten Grachten (Austrian Research Institute for Artificial Intelligence, Austria)
Carlos Perez-Sancho (Alicante University, Spain)
David Rizo (Alicante University, Spain)
Christina Anagnostopoulou (University of Athens, Greece)
Rafael Ramirez (Universitat Pompeu Fabra, Spain)
Darrell Conklin (University of the Basque Country, Spain)
José Manuel Iñesta (University of Alicante, Spain)

Related Resources

FAIML 2020-Ei Compendex & Scopus 2020   2020 2nd International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2020)
ICDM 2020   20th IEEE International Conference on Data Mining
WSPML 2020   2020 2nd International Workshop on Signal Processing and Machine Learning (WSPML 2020)
IEEE COINS 2020   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems | Circuit and Systems | WSN | 5G
AICA 2020   O'Reilly AI Conference San Jose
MNLP 2020   4th IEEE Conference on Machine Learning and Natural Language Processing
IEEE-CVIV 2020   2020 2nd International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2020)
MAAIDL 2020   Springer Book 'Malware Analysis using Artificial Intelligence and Deep Learning'
SI-FDS-MLJ 2021   CFP: Special Issue on Foundations of Data Science - Machine Learning Journal
JIST-KG 2020   Joint International Conference on Knowledge Graphs