Audio classification from time-frequency texture

Authors:
Guoshen Yu;Jean-Jacques Slotine
Affiliations:
CMAP, Ecole Polytechnique, 91128 Palaiseau Cedex, France;NSL, Massachusetts Institute of Technology, Cambridge, 02139, USA
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

Citing 0
Cited 4

Time-frequency analysis and hermite projection method applied to swallowing accelerometry signals

EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
Environmental sounds classification based on visual features

CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Song/instrumental classification using spectrogram based contextual features

Proceedings of the CUBE International Information Technology Conference
Multiclass support vector machines for environmental sounds classification in visual domain based on log-Gabor filters

International Journal of Speech Technology

Quantified Score

Hi-index	0.00

Visualization

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.