Audio classification from time-frequency texture

@article{Yu2009AudioCF,
  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},
  year={2009},
  pages={1677-1680}
}
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. 
Highly Cited
This paper has 59 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 43 extracted citations

Histogram of Gradients of Time–Frequency Representations for Audio Scene Classification

IEEE/ACM Transactions on Audio, Speech, and Language Processing • 2015
View 4 Excerpts
Highly Influenced

Acoustic scene classification using spectrograms

2017 36th International Conference of the Chilean Computer Science Society (SCCC) • 2017
View 1 Excerpt

Environmental sound classification based on time-frequency representation

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) • 2017
View 2 Excerpts

59 Citations

051015'10'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 59 citations based on the available data.

See our FAQ for additional information.

References

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

E

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

Similar Papers

Loading similar papers…