# Dereverberation using joint estimation of dry speech signal and acoustic system

arXiv: https://arxiv.org/abs/2007.12581 · HTML: https://mlsanity.com/paper/2007.12581/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Jul 2020.

## Built on by (most cited first, 1 of 1)

- [Visual Acoustic Matching](https://mlsanity.com/paper/2202.06875/) (2022)

## Abstract (arXiv)

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.