NDLI: Continuous Wavelet-Like Transform Based Music Similarity Features for Intelligent Music Navigation

Content Provider	IEEE Xplore Digital Library
Author	Paradzinets, A. Kotov, O. Harb, H. Liming Chen
Copyright Year	2007
Description	Author affiliation: Ecole Centrale de Lyon, Lyon (Paradzinets, A.; Kotov, O.; Harb, H.; Liming Chen)
Abstract	Intelligent music navigation is one of the important tasks in today's music applications. In this context we propose several high-level musical similarity features that can be used in automatic music navigation, classification and recommendation. The features we propose use Continuous Wavelet-like Transform as a basic time-frequency analysis of a musical signal due to its flexibility in time-frequency resolutions. A novel 2D beat histogram is presented in the paper as a rhythmic similarity feature which is free from dependency on recording condition and does not require sophisticated adaptive algorithms of threshold finding in beat detection. This paper also describes a CWT based algorithm of multiple F0 estimation (note detection) and corresponding melodic similarity features. Evaluation of the both similarity measures is done in automatic genre classification context and playlist composition.
Starting Page	165
Ending Page	172
File Size	6748190
Page Count	8
File Format	PDF
ISBN	142441010X
DOI	10.1109/CBMI.2007.385407
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-25
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Histograms Continuous wavelet transforms Navigation Acoustic measurements Time frequency analysis Acoustic signal detection Multiple signal classification Mel frequency cepstral coefficient Signal resolution
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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