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Deep Scattering Spectrum

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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Co-authorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalWDeep Scattering Spectrumpreprint / 2014AJoakim AndénResearcherAStéphane MallatResearcherTInformation Theory6710 worksTmath.IT6610 worksTSound3727 works
PaperSignal 105 links

Deep Scattering Spectrum

preprint / 2014

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