An auditory cortex model for sound processing
Analysis of PDEs
2021-03-09 v1 Signal Processing
Optimization and Control
Abstract
The reconstruction mechanisms built by the human auditory system during sound reconstruction are still a matter of debate. The purpose of this study is to refine the auditory cortex model introduced in [9], and inspired by the geometrical modelling of vision. The algorithm transforms the degraded sound in an 'image' in the time-frequency domain via a short-time Fourier transform. Such an image is then lifted in the Heisenberg group and it is reconstructed via a Wilson-Cowan differo-integral equation. Numerical experiments on a library of speech recordings are provided, showing the good reconstruction properties of the algorithm.
Keywords
Cite
@article{arxiv.2103.04608,
title = {An auditory cortex model for sound processing},
author = {Rand Asswad and Ugo Boscain and Giuseppina Turco and Dario Prandi and Ludovic Sacchelli},
journal= {arXiv preprint arXiv:2103.04608},
year = {2021}
}
Comments
arXiv admin note: substantial text overlap with arXiv:2004.02450