Uniqueness theorems established for wavelet phase retrieval of real bandlimited signals up to sign, plus sampled cases with complex wavelets and Cauchy wavelets.
Audio Texture Synthesis with Scattering Moments
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
abstract
We introduce an audio texture synthesis algorithm based on scattering moments. A scattering transform is computed by iteratively decomposing a signal with complex wavelet filter banks and computing their amplitude envelop. Scattering moments provide general representations of stationary processes computed as expected values of scattering coefficients. They are estimated with low variance estimators from single realizations. Audio signals having prescribed scattering moments are synthesized with a gradient descent algorithms. Audio synthesis examples show that scattering representation provide good synthesis of audio textures with much fewer coefficients than the state of the art.
verdicts
UNVERDICTED 2representative citing papers
Time-frequency scattering enables audio texture synthesis and manipulation through scale-rate DAFx transformations, demonstrated in new compositions and remixes.
citing papers explorer
-
Phase retrieval of bandlimited functions for the wavelet transform
Uniqueness theorems established for wavelet phase retrieval of real bandlimited signals up to sign, plus sampled cases with complex wavelets and Cauchy wavelets.
-
The Shape of RemiXXXes to Come: Audio Texture Synthesis with Time-frequency Scattering
Time-frequency scattering enables audio texture synthesis and manipulation through scale-rate DAFx transformations, demonstrated in new compositions and remixes.