Title
Coherent spectral estimation for a robust solution of the permutation problem
Abstract
In this paper, we propose a new method based on a coherent source spectral estimation for solving the permutation problem of frequency-domain blind source separation (BSS). It combines the robustness of the State Coherence Transform (SCT) to recursively estimate a smooth phase spectrum associated with each source and the precision of the inter-frequency correlation to solve for a correct permutation. Namely, the TDOAs estimated by the SCT are used to constrain the permutation correction process in order to force the resulting filters to be coherent across frequency. This intrinsic interconnection between the TDOA information and the spectral correlation makes the new approach robust even when the signal is short in duration and spatial aliasing is substantial. Experimental results show that the proposed method is able to drastically reduce the number of permutation errors for three sources recorded in a short time block using microphones with large spacing.
Year
DOI
Venue
2009
10.1109/ASPAA.2009.5346538
New Paltz, NY
Keywords
Field
DocType
blind source separation,direction-of-arrival estimation,frequency-domain analysis,spectral analysis,TDOA,coherent source spectral estimation,frequency-domain blind source separation,microphones,permutation correction process,permutation problem,smooth phase spectrum estimation,state coherence transform,TDOA estimation,blind source separation,independent component analysis,multiple sources localization,permutation problem,speech enhancement
Computer science,Electronic engineering,Robustness (computer science),Artificial intelligence,Blind signal separation,Frequency domain,Spectral density estimation,Pattern recognition,Permutation,Algorithm,Coherence (physics),Aliasing,Independent component analysis
Conference
ISSN
ISBN
Citations 
1931-1168 E-ISBN : 978-1-4244-3679-8
978-1-4244-3679-8
4
PageRank 
References 
Authors
0.46
6
3
Name
Order
Citations
PageRank
Francesco Nesta116614.30
Ted S. Wada2376.37
Biing-Hwang Juang33388699.72