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JNMR - Special Issue 2014 : Journal of New Music Research - Special Issue on Music and Machine Learning | |||||||||||||
Link: http://www.ehu.es/cs-ikerbasque/conklin/jnmr14.html | |||||||||||||
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Call For Papers | |||||||||||||
Journal of New Music Research
Machine learning has permeated nearly every area of music informatics, driven by a renewed interest in computational musicology, the vast sources of music in digital audio formats, the steady increase in size and availability of symbolic corpora, and advances in semantic annotation of large audio collections. To provide a collection of the highest quality contemporary work in machine learning and music, the Journal of New Music Research will host its second Special Issue on Music and Machine Learning. This Special Issue follows the successful JNMR 2011 Special Issue on Music and Machine Learning. Topics ------ For the Special Issue on Music and Machine Learning we welcome submissions employing either symbolic or audio music data, and also encourage methods that bridge the symbolic/audio junction. Predictive as well as descriptive approaches to music data are equally encouraged. We invite contributions describing machine learning approaches to music processing including, but not limited to, the following topics: Music Classification Pattern and Structure Discovery Music Generation and Algorithmic Composition Computational Musicology Music Knowledge Representation for Machine Learning Music Clustering and Descriptive Rule Mining Interactive Performance Systems Cover Song Detection Expressive Music Performance Emotion and Mood Psychoacoustics and Music Perception Harmonic Analysis Audio Chord Extraction Playlist Analysis and Generation Submissions must provide a thorough background on the music problem under study, a detailed description of the data set used, a sufficient description of the machine learning method employed, including algorithmic aspects where appropriate, and a strong evaluation of results. Manuscripts are submitted through the Journal of New Music Research ScholarOne site, not to the Guest Editors directly. On the "Manuscript Type" dropdown menu, authors must select "SI - Music and Machine Learning". Submissions must comply with the Journal's general guidelines for authors. In terms of paper length for the Special Issue, submissions should be roughly 6,000 words in length and formatted using latex options fullpage, 12pt, a4paper, doublespacing. Manuscripts exceeding significantly the word count limit, or received after the deadline (below), will be returned without review to the authors and not considered for the Special Issue. Important dates --------------- Jan 2013 first call for papers Jul 1, 2013 deadline for manuscript submission Oct 15, 2013 responses to authors Dec 1, 2013 camera ready papers due early 2014 Special Issue in print Guest Editors ------------- General queries regarding the Special Issue and specifically the suitability of topics/research to the Special Issue should be directed to one of the Guest Editors: Darrell Conklin Universidad del País Vasco UPV/EHU San Sebastián, Spain Fundación Ikerbasque, Bilbao, Spain darrell dot conklin at ehu dot es José Manuel Iñesta University of Alicante, Spain inesta at dlsi dot ua dot es Rafael Ramirez Universitat Pompeu Fabra, Barcelona, Spain rafael dot ramirez at upf dot edu |
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