Gabor frames and deep scattering networks in audio processing
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In this paper a feature extractor based on Gabor frames and Mallat's scattering transform, called Gabor scattering, is introduced. This feature extractor is applied to a simple signal model for audio signals, i.e. a class of tones consisting of fundamental frequency and its multiples and an according envelope. Within different layers, different invariances to certain signal features occur. In this paper we give a mathematical explanation for the first and the second layer which are illustrated by numerical examples. Deformation stability of this feature extractor will be shown by using a decoupling technique, previously suggested for the scattering transform of Cartoon functions. Here it is used to see if the feature extractor is robust to changes in spectral shape and frequency modulation.
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