NDLI: Efficient extraction of closed motivic patterns in multi-dimensional symbolic representations of music

Content Provider	IEEE Xplore Digital Library
Author	Lartillot, O.
Copyright Year	2005
Description	Author affiliation: Jyvaskyla Univ., Finland (Lartillot, O.)
Abstract	An efficient model for discovering repeated patterns in symbolic representations of music is presented. Combinatorial redundancy inherent in the pattern discovery paradigm is commonly filtered using global selective mechanisms, based on pattern frequency and length. We propose an alternate approach founded on the concept of closed pattern and enabling detailed analyses through adaptive selection of most specific descriptions in a multidimensional parametric space. A notion of cyclic pattern is introduced, enabling an adapted filtering of another form of combinatorial redundancy caused by successive repetitions of patterns. The use of cyclic patterns implies a necessary chronological scanning of the piece, and the addition of mechanisms formalizing particular Gestalt principles. This study shows therefore that automated analysis of music cannot rely on simple mathematical or statistical approaches, but needs rather complex and detailed modeling of the cognitive system ruling listening processes. The resulting algorithm is able to offer for the first time compact and relevant motivic analyses of simple monodies, and may therefore be applied to automated indexing of symbolic music databases. Numerous additional mechanisms need to be added in order to consider all aspects of music expression, including polyphony and complex musical transformations.
Sponsorship	IEEE Comput. Soc. Web Intelligence Consortium (WIC) Assoc. for Comput. Machinery (ACM)
Starting Page	229
Ending Page	235
File Size	352777
Page Count	7
File Format	PDF
ISBN	076952415X
DOI	10.1109/WI.2005.58
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-19
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Automation Databases Filtering Music Frequency Multiple signal classification Mathematical model Pattern analysis Machine assisted indexing
Content Type	Text
Resource Type	Article

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