Audio classification from time-frequency texture
Name
Yu-2009-Audio classification from time-frequency texture.pdf
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870.6 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Slotine, Jean-Jacques E.
Yu, Guoshen
Date Issued
May 2009
Journal
Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Guoshen, Yu, and Slotine, Jean-Jacques E. "Audio classification from time-frequency texture." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009) (2009): 1677-1680. © 2009 IEEE
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICASSP.2009.4959924
