J. J. Burred and A. Lerch, “Hierarchical Automatic Audio Signal Classification,” J. Audio Eng. Soc., vol. 52, no. 7/8, pp. 724–739, Jul. 2004.
Burred JJ, Lerch A. Hierarchical Automatic Audio Signal Classification. J Audio Eng Soc. 2004;52(7/8):724-739. Available from: https://aes.org/publications/elibrary-page/?id=13015
@article{Burred2004_13015,
author = {Burred, Juan José and Lerch, Alexander},
title = {{Hierarchical Automatic Audio Signal Classification}},
journal = {Journal of the Audio Engineering Society},
volume = {52},
number = {7/8},
pages = {724--739},
year = {2004},
month = jul,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=13015}
}
TY - JOUR
TI - Hierarchical Automatic Audio Signal Classification
AU - Burred, Juan José
AU - Lerch, Alexander
T2 - Journal of the Audio Engineering Society
J2 - J. Audio Eng. Soc.
VL - 52
IS - 7/8
SP - 724
EP - 739
PY - 2004
DA - 2004/07/06
UR - https://aes.org/publications/elibrary-page/?id=13015
PB - Audio Engineering Society
LA - en
AB - 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.
ER -