Audio Classification from Time-Frequency Texture
Computer Vision and Pattern Recognition
2008-09-29 v1 Sound
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.
Cite
@article{arxiv.0809.4501,
title = {Audio Classification from Time-Frequency Texture},
author = {Guoshen Yu and Jean-Jacques Slotine},
journal= {arXiv preprint arXiv:0809.4501},
year = {2008}
}