Hierarchical Automatic Audio Signal Classification

The design, implementation, and evaluation of a system for automatic audio signal classification is presented. The signals are classified according to audio type, differentiating between three speech classes, 13 musical genres, and background noise. A large number of audio features are evaluated for...

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Veröffentlicht in:Journal of the Audio Engineering Society 2004-07, Vol.52 (7/8), p.724-739
Hauptverfasser: Burred, Juan José, Lerch, Alexander
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container_title Journal of the Audio Engineering Society
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creator Burred, Juan José
Lerch, Alexander
description The design, implementation, and evaluation of a system for automatic audio signal classification is presented. The signals are classified according to audio type, differentiating between three speech classes, 13 musical genres, and background noise. A large number of audio features are evaluated for their suitability in such a classification task, including MPEG-7 descriptors and several new features. The selection of the features is carried out systematically with regard to their robustness to noise and bandwidth changes, as well as to their ability to distinguish a given set of audio types. Direct and hierarchical approaches for the feature selection and for the classification are evaluated and compared.
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ispartof Journal of the Audio Engineering Society, 2004-07, Vol.52 (7/8), p.724-739
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source AES Electronic Library
subjects Acoustics
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Physics
Transduction
acoustical devices for the generation and reproduction of sound
title Hierarchical Automatic Audio Signal Classification
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