Multiple Classifiers for Different Features in Timbre Estimation

Abstract

Computer storage and network techniques have brought a tremendous need to find a way to automatically index digital music recordings. In this paper, state of art acoustic features for timbre automatic indexing were explored to construct efficient classification models, such as decision tree as well as KNN. The authors built a database containing more than… (More)
DOI: 10.1007/978-3-642-05183-8_14

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3 Figures and Tables

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Citations per Year

Citation Velocity: 4

Averaging 4 citations per year over the last 3 years.

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