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AUDIO CLASSIFICATION FROM TIME-FREQUENCY TEXTURE
http://www.cmap.polytechnique.fr/~yu/publications/AudioClassification.pdf#:~:text=Time-frequency%20representations%20of%20audio%20signals%20often%20resem-ble%20texture,surprisingly%20good%20performance%20in%20mu-sical%20instrument%20classi%EF%AC%81cation%20experiments.
Audio classification from time-frequency texture
https://dspace.mit.edu/openaccess-disseminate/1721.1/74538
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.
Audio classification from time-frequency texture | IEEE ...
https://ieeexplore.ieee.org/abstract/document/4959924/
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.
AUDIO CLASSIFICATION FROM TIME-FREQUENCY TEXTURE
http://www.cmap.polytechnique.fr/~yu/publications/AudioClassification.pdf
2.1. Time-Frequency Representation Let us denote an audio signal f[n], n = 0,1,...,N − 1. A time-frequency transform decomposes f over a family of time-frequency atoms {g l,k} l,k where l and k are the time and frequency (or scale) localization indices. The resulting coefficients shall be written: F[l,k] = hf,g l,k i = NX−1 n=0 f[n]g∗ [n] (1)
[0809.4501] Audio Classification from Time-Frequency …
https://arxiv.org/abs/0809.4501
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.
CiteSeerX — Audio classification from time-frequency …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.250.9742
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.
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