Subject: Music-AI Workshop / Journal publication From: Rafael Ramirez <rramirez@xxxxxxxx> Date: Fri, 18 Aug 2006 15:11:57 +0000(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@xxxxxxxx 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