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Author Anden, J. ♦ Mallat, S.
Sponsorship IEEE Signal Processing Society
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1991
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Physics ♦ Electricity & electronics
Subject Keyword Wavelet transforms ♦ Scattering ♦ Spectrogram ♦ Wavelet analysis ♦ Frequency modulation ♦ Convolution ♦ wavelets ♦ Audio classification ♦ deep neural networks ♦ MFCC ♦ modulation spectrum
Abstract A scattering transform defines a locally translation invariant representation which is stable to time-warping deformation. It extends MFCC representations by computing modulation spectrum coefficients of multiple orders, through cascades of wavelet convolutions and modulus operators. Second-order scattering coefficients characterize transient phenomena such as attacks and amplitude modulation. A frequency transposition invariant representation is obtained by applying a scattering transform along log-frequency. State-the-of-art classification results are obtained for musical genre and phone classification on GTZAN and TIMIT databases, respectively.
Description Author affiliation :: Centre de Math. Appl., Ecole Polytech., Palaiseau, France
Author affiliation :: Dept. d'Inf., Ecole Normale Super., Paris, France
ISSN 1053587X
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-01-01
Publisher Place U.S.A.
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Volume Number 62
Issue Number 16
Size (in Bytes) 3.73 MB
Page Count 15
Starting Page 4114
Ending Page 4128


Source: IEEE Xplore Digital Library