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Scientific Publications

Hierarchical Automatic Audio Signal Classification
Citation key 0777Burred2004
Author Juan José Burred and Alexander Lerch
Pages 724–739
Year 2004
Journal Journal of the Audio Engineering Society
Volume 52
Number 7/8
Month jul
Note A. Lerch: zplane.development
Abstract 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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