Audio Classification from Time-Frequency Texture
Ecole Polytechnique（巴黎综合理工学院）；Massachusetts Institute of Technology（麻省理工学院）
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
