Audio Texture Synthesis with Scattering Moments
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Nov 2013.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
4 papers.
- 2024Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noisecited by 13
- 2021Deep scattering network for speech emotion recognitioncited by 2
- 2023Wavelet Scattering Transform for Improving Generalization in Low-Resourced Spoken Language Identificationcited by 0
- 2026TimberAgent: Gram-Guided Retrieval for Executable Music Effect Controlcited by 0
- 2026TimberAgent: Gram-Guided Retrieval for Executable Music Effect Control10 Mar 2026
- 2024Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise5 Dec 2024
- 2023Wavelet Scattering Transform for Improving Generalization in Low-Resourced Spoken Language Identification1 Oct 2023
- 2021Deep scattering network for speech emotion recognition11 May 2021