Title
An Expectation-Maximization Algorithm for Multimicrophone Speech Dereverberation and Noise Reduction With Coherence Matrix Estimation.
Abstract
In speech communication systems, the microphone signals are degraded by reverberation and ambient noise. The reverberant speech can be separated into two components, namely, an early speech component that consists of the direct path and some early reflections and a late reverberant component that consists of all late reflections. In this paper, a novel algorithm to simultaneously suppress early reflections, late reverberation, and ambient noise is presented. The expectation-maximization (EM) algorithm is used to estimate the signals and spatial parameters of the early speech component and the late reverberation components. As a result, a spatially filtered version of the early speech component is estimated in the E-step. The power spectral density (PSD) of the anechoic speech, the relative early transfer functions, and the PSD matrix of the late reverberation are estimated in the M-step of the EM algorithm. The algorithm is evaluated using real room impulse response recorded in our acoustic lab with a reverberation time set to 0.36 s and 0.61 s and several signal-to-noise ratio levels. It is shown that significant improvement is obtained and that the proposed algorithm outperforms baseline single-channel and multichannel dereverberation algorithms, as well as a state-of-the-art multichannel dereverberation algorithm.
Year
DOI
Venue
2016
10.1109/TASLP.2016.2553457
IEEE/ACM Trans. Audio, Speech & Language Processing
Keywords
Field
DocType
Reverberation,Speech,Speech processing,Estimation,Transfer functions,Spatial coherence
Noise reduction,Impulse response,Speech processing,Reverberation,Computer science,Expectation–maximization algorithm,Ambient noise level,Speech recognition,Anechoic chamber,Acoustics,Microphone
Journal
Volume
Issue
ISSN
24
9
2329-9290
Citations 
PageRank 
References 
6
0.42
29
Authors
3
Name
Order
Citations
PageRank
Ofer Schwartz1646.76
Sharon Gannot21754130.51
Emanuel A. P. Habets360466.23