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Exploiting all combinations of microphone sensors in overdetermined frequency domain blind separation of speech signals
Author(s) -
Zhang Yonggang,
Chambers Jonathon A.
Publication year - 2011
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.1189
Subject(s) - overdetermined system , microphone , frequency domain , blind signal separation , speech recognition , domain (mathematical analysis) , computer science , independence (probability theory) , basis (linear algebra) , algorithm , mathematics , telecommunications , statistics , mathematical analysis , channel (broadcasting) , sound pressure , computer vision , geometry
A new approach to overdetermined frequency domain blind source separation (BSS) of speech signals which exploits all combinations of observations and hence varying inter microphone spacings is proposed. The observations are divided into subgroups so that conventional frequency domain BSS algorithms can be used. By evaluating the separation performance obtained from each group on the basis of approximately measuring the independence of separated signals, the output of the group that has the best performance among all groups on a frequency‐by‐frequency basis is chosen as the overall output. The separated signals of the overall system are then obtained by transforming their frequency domain representations into the time domain. Simulation results based on speech signals confirm that the proposed approach has better performance based on the performance index (PI) as compared with a conventional scheme using only one microphone group and an existing overdetermined frequency domain BSS algorithm. Copyright © 2010 John Wiley & Sons, Ltd.