In this paper, we present a support vector machine (SVM) based sound classifier using MPEG-7 audio low-level descriptors and related enhanced features. The SVM is used to construct an environmental sound classifier. As for the audio features, a feature set which includes MPEG-7 audio low-level descriptors, spectrum centroid, spectrum spread, and spectrum flatness, and two enhanced features, RSS and Legendre-based trend coefficients (LBTCs) of the spectrum power is adopted for sound classification. Experiments demonstrate the proposed system can achieve an 81.25% classification rate. © 2012 Springer-Verlag.
CITATION STYLE
Lin, C. H., Tu, M. C., Chin, Y. H., Liao, W. J., Hsu, C. S., Lin, S. H., … Wang, J. F. (2012). SVM-based sound classification based on MPEG-7 audio LLDs and related enhanced features. In Communications in Computer and Information Science (Vol. 310 CCIS, pp. 536–543). https://doi.org/10.1007/978-3-642-32692-9_67
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