Transform\'ee en scattering sur la spirale temps-chroma-octave
Vincent Lostanlen, St\'ephane Mallat

TL;DR
This paper presents a novel scattering representation for sound analysis that is translation-invariant, deformation-stable, and captures harmonic structures, using a wavelet transform along a harmonic spiral.
Contribution
It introduces a new scattering method based on a wavelet transform along a harmonic spiral, enhancing sound analysis and classification capabilities.
Findings
Effective in analyzing source-filter model deformations
Captures harmonic structures robustly
Stable to temporal and frequency deformations
Abstract
We introduce a scattering representation for the analysis and classification of sounds. It is locally translation-invariant, stable to deformations in time and frequency, and has the ability to capture harmonic structures. The scattering representation can be interpreted as a convolutional neural network which cascades a wavelet transform in time and along a harmonic spiral. We study its application for the analysis of the deformations of the source-filter model.
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Taxonomy
TopicsAdvanced Optical Imaging Technologies · Advanced Vision and Imaging · Optical measurement and interference techniques
