Paper Info
Title
Estimating direct-to-reverberant energy ratio based on spatial correlation model segregating direct sound and reverberation
Abstract
A new approach for estimating the direct-to-reverberant energy ratio (DRR) using a microphone array is proposed. The method is based on amodel of a spatial correlation matrix that segregates direct sound and reverberation. It estimates DRR from the power spectra of both components, which are derived from the correlation matrix of the observed signal. In experiments performed in simulated and actual reverberant environments, the proposed method mostly succeeded in estimating DRR accurately. We also present speech enhancement using binary masking as an example of an application of the estimated DRR. By utilization of the DRR as a factor to discriminate the distances of speakers, separation of speech signals whose sources were located in the same direction but at different distances was achieved.
Year
DOI
Venue
2010
10.1109/ICASSP.2010.5496103
ICASSP
Keywords
Field
DocType
microphone arrays,reverberation,source separation,speech,speech enhancement,speech intelligibility,direct sound,direct-to-reverberant energy ratio,masking,microphone array,reverberation,spatial correlation matrix,speakers,speech enhancement,speech signal separation,direct-to-reverberant energy ratio,microphone array,sound source distance,spatial correlation matrix,speech enhancement
Speech enhancement,Masking (art),Computer science,Artificial intelligence,Source separation,Intelligibility (communication),Spatial correlation,Reverberation,Pattern recognition,Speech recognition,Microphone array,Acoustics,Covariance matrix
Conference
ISSN
Citations 
PageRank 
1520-6149
3
0.62
References 
Authors
0
5
Name
Order
Citations
PageRank
Yusuke Hioka110119.40
Kenta Niwa29517.07
Sumitaka Sakauchi3368.30
Ken'ichi Furuya4318.17
Youichi Haneda5153.18