Audio classification from time-frequency texture

  title={Audio classification from time-frequency texture},
  author={Guoshen Yu and Jean-Jacques E. Slotine},
  journal={2009 IEEE International Conference on Acoustics, Speech and Signal Processing},
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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Publications referenced by this paper.
Showing 1-10 of 21 references

Audio Denoising by Time-Frequency Block Thresholding

IEEE Transactions on Signal Processing • 2008
View 3 Excerpts

Fast Wavelet-based Visual Classification

G. Yu, J. J. Sloine
Proc. IEEE ICPR, Tampa • 2008
View 2 Excerpts

Spectral completion of partially masked sounds.

Proceedings of the National Academy of Sciences of the United States of America • 2008

Audio Signal Denoising with Complex Wavelets and Adaptive Block Attenuation

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 • 2007


G. Yu
Bacry, S. Mallat, “Audio Signal Denoinsing with Complex Wavelets and Adaptive Block Attentuation”, Proc. IEEE ICASSP, Hawaii • 2007
View 1 Excerpt

Robust Object Recognition with Cortex-Like Mechanisms

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2007
View 2 Excerpts

Musical instrument recognition by pairwise classification strategies

IEEE Transactions on Audio, Speech, and Language Processing • 2006
View 2 Excerpts

A Large Set of Audio Features for Sound Description(Similarity and Classification)

P. Viola, M. Jones
the CUIDADO Project, IRCAM, Paris, France, Tech. Rep. • 2004
View 2 Excerpts

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