Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-02900-4_21
Title: A survey of music structure analysis techniques for music applications
Authors: Maddage, N.C.
Li, H.
Kankanhalli, M.S. 
Issue Date: 2009
Source: Maddage, N.C.,Li, H.,Kankanhalli, M.S. (2009). A survey of music structure analysis techniques for music applications. Studies in Computational Intelligence 231 : 551-577. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-02900-4_21
Abstract: Music carries multilayer information which forms different structures. The information embedded in the music can be categorized into time information, harmony/melody, music regions, music similarities, song structures and music semantics. In this chapter, we first survey existing techniques for the music structure information extraction and analysis. We then discuss how the music structure information extraction helps develop music applications. Experimental studies indicate that the success of long term music research is based on how well we integrate domain knowledge of relevant disciplines such as musicology, psychology and signal processing. © 2009 Springer-Verlag Berlin Heidelberg.
Source Title: Studies in Computational Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/39520
ISBN: 9783642028991
ISSN: 1860949X
DOI: 10.1007/978-3-642-02900-4_21
Appears in Collections:Staff Publications

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