NDLI: Hierarchical multi-class self similarities

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2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005.

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Hierarchical multi-class self similarities

Content Provider	IEEE Xplore Digital Library
Author	Jehan, T.
Copyright Year	2005
Description	Author affiliation: Media Lab., MIT, Cambridge, MA, USA (Jehan, T.)
Abstract	The music similarity question is yet to be defined. From an objective signal point of view, at least three classes of similarities may be considered: pitch, rhythm, and timbre. Within each class, several scales of analysis may be evaluated: segment, beat, pattern, section. We propose a recursive approach to this hierarchical and perceptual similarity problem. Our musically meaningful set of measurements is computed from the ground up via dynamic programming. This may be regarded as an analysis foundation for content-based retrieval, song similarities, or manipulation systems.
Starting Page	311
Ending Page	314
File Size	1159443
Page Count	4
File Format	PDF
ISBN	0780391543
DOI	10.1109/ASPAA.2005.1540231
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Timbre Rhythm Acoustic measurements Pattern analysis Instruments Laboratories Dynamic programming Music information retrieval Content based retrieval Particle measurements
Content Type	Text
Resource Type	Article

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