Music-AI Workshop / Journal publication

[Rafael Ramirez <rramirez@xxxxxxxxxxx>]

(Apologies if you receive multiple copies of this announcement)

Dear colleagues,

I am glad to be able to confirm that extended versions of the best papers 
presented at the Music-AI workshop will be published (subject to additional 
reviewing) in Computer Music Journal (MIT Press).

The call for papers is attached below and can be found at:

http://www.iua.upf.es/mtg/MusAI/

Best wishes,
rafael ramirez


========================== CALL FOR PAPERS =============================

      International Workshop on Artificial Intelligence and Music
                           (MUSIC-AI 2007)
                   http://www.iua.upf.es/mtg/MusAI

                  Held in conjunction with IJCAI2007
 The Twentieth International Joint Conference on Artificial Intelligence
                           Hyderabad, India
                          January 6-12, 2007


With the explosion and quick expansion of the music collections available
on the Internet and, more generally of the music in digital formats, a
key challenge in the area of musical information management is the
automation of the annotation, indexation and organization of music based
on its semantic content. One of main deficiencies in the current music
organization and processing systems is the existing semantic gap between
low-level features or content descriptors that usually can be obtained in
an automatic manner and the richness of musical information. One of the
key issues for bridging the semantic gap in music technology is the
ability to process music based on its content. Content-based processing is
a well established term that covers very sparse areas like analysis,
indexation, search, and transformation of signals produced by an
audiovisual source. In the music context, content-based processing is a
very fruitful research topic where currently a lot of effort is being
devoted and in which artificial intelligence plays a central role. The
term music processing covers all types of music knowledge representations,
including MIDI and score representations.

MUSIC-AI 2007 intends to continue a series of events related to artificial
intelligence and music that have been held either in conjunction with
artificial intelligence conferences or international music-related
conferences. The presence of such events and the increasing number of
contributions they receive indicates that the application of artificial
intelligence techniques to the development of music processing systems is
an active, exciting and significant area of research which has become an
established field of research that is recognized by both the AI and music
communities.

The workshop concentrates around the topic of content-based music
processing and will welcome contributions describing artificial
intelligence approaches in this context. The goal of the workshop is to
bring together researchers who are using artificial intelligence in
musical applications, providing the opportunity to promote, present and
discuss ongoing work in the area.
MUSIC-AI 2007 is planned to last one full day, and will feature paper
presentations, panel discussions and open discussions. Accepted
contributions will be available from the workshop web page as soon as
possible in order to encourage active discussion during the workshop.

TOPICS

We invite original and unpublished contributions describing approaches
to music processing using artificial intelligence techniques including,
but not limited to cognitive modeling, data mining and classification,
expert systems, generative systems, grammars, fuzzy logic, genetic
algorithms, hidden Markov models, intelligent agents, inductive logic
programming, knowledge representation, knowledge-based systems, machine
learning, neural networks, constraint satisfaction, and  planning. You
are cordially invited to submit papers on Artificial Intelligence and
music, including (but not limited to):

     * Sound Synthesis and Analysis
     * Formal Music Analysis
     * Music Information Retrieval
     * Knowledge Representation and Computational Models
     * Printing and Optical Recognition of Music
     * Psychoacoustics and Music Perception
     * Cognitive Modeling
     * Aesthetics, Philosophy and Criticism of Music
     * Adaptive Systems and Music Education
     * Algorithmic Composition
     * Interactive Performance Systems
     * Digital Audio Signal Processing
     * Software and Hardware Systems

Research papers, case studies, lessons learned, status reports, and
discussions of practical problems in AI-based music processing
applications are all welcome submissions. Submissions will be reviewed
by program committee members on the basis of technical quality,
relevance, significance, and clarity.

PUBLICATION

Accepted papers will be published in the workshop proceedings. An
extended version of the best paper presented at the workshop will be
published in Computer Music Journal (MIT Press). In addition, a few
other highly rated papers from the workshop will be considered for
possible inclusion in Computer Music Journal.

SUBMISSION

Papers should be no more than 12 pages in length, and should include an
abstract of 70-150 words. Contributions should be in PDF format and
submitted to the workshop email address music-ai@xxxxxxxxxxxx Papers
should be formatted according to LNCS (Lecture Notes in Computer
Science) format (a link to the templates can be found at the workshop
webpage). Authors are strongly encouraged to use LaTeX2e, although
Word files, in PDF format, will also be accepted.

IMPORTANT DATES

    . Submission deadline: Monday, September 25, 2006.
    . Acceptance notification: Monday, October 23, 2006.
    . Final versions due: Monday, November 6, 2006.
    . Workshop: January 6, 2007.

ORGANIZING COMMITTEE

    Rafael Ramirez (Universitat Pompeu Fabra)
    Alan Smaill (University of Edinburgh)
    Christina Anagnostopoulou (University of Athens)
    Xavier Serra (Universitat Pompeu Fabra)

WORKSHOP URL

    http://www.iua.upf.es/mtg/MusAI