A Survey of Feature Selection Techniques for Music Information Retrieval (2001)
| Citations: | 16 - 0 self |
BibTeX
@MISC{Pickens01asurvey,
author = {Jeremy Pickens},
title = {A Survey of Feature Selection Techniques for Music Information Retrieval},
year = {2001}
}
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Abstract
The content-based retrieval of Western music has received increasing attention recently. Much of this research deals with monophonic music. Polyphonic music is more common, but also more difficult to represent. Music information retrieval systems must extract viable features before they can define similarity measures. We summarize and categorize representation features that have been used for polyphonic retrieval with the aim of laying standardized groundwork for future feature extraction research. Comparisons with and extensions to monophonic approaches are given, and a new feature, an extension of duration-independent pitch slices, is proposed. Key words: Music retrieval, polyphonic features 1.
