Group sparsity for MIMO speech dereverberation
Ante Jukić1, Toon van Waterschoot2, Timo Gerkmann1, Simon Doclo1
1 University of Oldenburg, Dept. of Medical Physics and Acoustics, Oldenburg, Germany
2 KU Leuven, Dept. of Electrical Engineering Leuven, Belgium
Description
In this paper we present a batch algorithm employing a signal model based on multi-channel linear prediction in the short-time Fourier transform domain. Aiming to achieve multiple-input multiple-output (MIMO) speech dereverberation in a blind manner, we propose a cost function based on the concept of group sparsity. The samples given below demonstrate the application of the algorithm for binaural dereverberation.
Configuration
Parameters
Position E
Clean | RSNR | Mic 1 | Out, p=0 | Out, p=1/2 | Out, p=1 | Out, p=2 |
---|---|---|---|---|---|---|
40 dB | ||||||
|
20 dB | |||||
10 dB |
Position F
Clean | RSNR | Mic 1 | Out, p=0 | Out, p=1/2 | Out, p=1 | Out, p=2 |
---|---|---|---|---|---|---|
40 dB | ||||||
|
20 dB | |||||
10 dB |