Dereverberation using joint estimation of dry speech signal and acoustic system
Audio and Speech Processing
2020-07-27 v1 Machine Learning
Sound
Abstract
The purpose of speech dereverberation is to remove quality-degrading effects of a time-invariant impulse response filter from the signal. In this report, we describe an approach to speech dereverberation that involves joint estimation of the dry speech signal and of the room impulse response. We explore deep learning models that apply to each task separately, and how these can be combined in a joint model with shared parameters.
Keywords
Cite
@article{arxiv.2007.12581,
title = {Dereverberation using joint estimation of dry speech signal and acoustic system},
author = {Sanna Wager and Keunwoo Choi and Simon Durand},
journal= {arXiv preprint arXiv:2007.12581},
year = {2020}
}