Audio Classification from Time-Frequency Texture

2008/09/25 by Guoshen Yu, Jean-Jacques Slotine, Yu, Guoshen +1
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Sound (cs.SD) #cs.CV #cs.SD

paper · pdf · doi:10.48550/arxiv.0809.4501

arxiv created 2008/09/25 · arxiv updated 2009/12/01

Abstract

Time-frequency representations of audio signals often resemble texture images. This paper derives a simple audio classification algorithm based on treating sound spectrograms as texture images. The algorithm is inspired by an earlier visual classification scheme particularly efficient at classifying textures. While solely based on time-frequency texture features, the algorithm achieves surprisingly good performance in musical instrument classification experiments.

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