-------- Original-Nachricht -------- Betreff: Music Information Retrieval Based on Signal Processing Datum: Wed, 15 June 2005 18:28:11 +0200 Von: EURASIP JASP Alert asp@alert.hindawi.com An: gustaf.neumann@wu-wien.ac.at
EURASIP Journal on Applied Signal Processing
Special Issue on
Music Information Retrieval Based on Signal Processing
Call for Papers
The main focus of this special issue is on the application of digital signal processing techniques for music information retrieval (MIR). MIR is an emerging and exciting area of research that seeks to solve a wide variety of problems dealing with preserving, analyzing, indexing, searching, and accessing large collections of digitized music. There are also strong interests in this field of research from music libraries and the recording industry as they move towards digital music distribution. The demands from the general public for easy access to these music libraries challenge researchers to create tools and algorithms that are robust, small, and fast.
Music is represented in either encoded audio waveforms (CD audio, MP3, etc.) or symbolic forms (musical score, MIDI, etc.). Audio representations, in particular, require robust signal processing techniques for many applications of MIR since meaningful descriptions need to be extracted from audio signals in which sounds from multiple instruments and vocals are often mixed together. Researchers in MIR are therefore developing a wide range of new methods based on statistical pattern recognition, classification, and machine learning techniques such as the Hidden Markov Model (HMM), maximum likelihood estimation, and Bayes estimation as well as digital signal processing techniques such as Fourier and Wavelet transforms, adaptive filtering, and source-filter models. New music interface and query systems leveraging such methods are also important for end users to benefit from MIR research.
Although research contributions on MIR have been published at various conferences in 1990s, the members of the MIR research community meet annually at the International Conference on Music Information Retrieval (ISMIR) since 2000.
Topics of interest include (but are not limited to):
o Automatic summarization (succinct representation of music) o Automatic transcription (audio to symbolic format conversion) o Music annotation (semantic analysis) o Music fingerprinting (unique identification of music) o Music interface o Music similarity metrics (comparison) o Music understanding o Musical feature extraction o Musical styles and genres o Optical music score recognition (image to symbolic format conversion) o Performer/artist identification o Query systems o Timbre/instrument recognition
Authors should follow the EURASIP JASP manuscript format described at the journal site http://www.hindawi.com/journals/asp/ . Prospective authors should submit an electronic copy of their complete manuscript through the EURASIP JASP's manuscript tracking system at journal's web site, according to the following timetable.
Manuscript Due December 1, 2005 Acceptance Notification April 1, 2006 Final Manuscript Due July 1, 2006 Publication Date 3rd Quarter, 2006
GUEST EDITORS:
Ichiro Fujinaga, McGill University, Montreal, QC, Canada, H3A 2T5; ich@music.mcgill.ca
Masataka Goto, National Institute of Advanced Industrial Science and Technology, Japan; m.goto@aist.go.jp
George Tzanetakis, University of Victoria, Victoria, BC, Canada, V8P 5C2; gtzan@cs.uvic.ca
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Gustaf Neumann