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Deep Scattering Spectrum

2013/04/30 by Joakim Andén, Stéphane Mallat · 2 citations
Computer Science · Mathematics · #cs.IT #cs.SD #math.IT

paper · pdf · doi:10.1109/tsp.2014.2326991

arxiv created 2014/01/10 · arxiv updated 2015/06/15

Abstract

A scattering transform defines a locally translation invariant representation which is stable to time-warping deformations. 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.

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