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A feature extractor based on Gabor frames and Mallat's scattering transform is introduced. The resulting Gabor scattering is applied to a simple model for audio signals in order to study invariance properties and deformation stability. In particular, it is shown that different layers create invariance to certain signal features. The decoupling technique previously used to investigate deformation stability...
Convolutional Neural Networks have established a new standard in many machine learning applications not only in image but also in audio processing. In this contribution we investigate the interplay between the primary representation mapping a raw audio signal to some kind of image (feature) and the convolutional layers of an ensuing neural network. We introduce a new notion of equivalence of feature-network...
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