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Extracting a source of shorter source-to-microphone distance from convolutive mixtures

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3 Author(s)
J. K. Yoo ; KAIST-Division of Electrical Engineering, 373-1 Guseong-dong Yuseong-gu, Daejeon 305-701, Republic of Korea ; C. H. Choi ; S. Y. Lee

Although blind source extraction is advantageous over blind signal separation in practical applications, it is difficult to choose the extracted source from many sources in the mixtures. A new algorithm is presented to extract a source signal of shorter source-to-microphone distance from two convolutive mixtures. The developed algorithm imposes an additional constraint on the extracting filters, i.e. high direct-to-reverberation ratio. In experiments, the algorithm successfully extracted the shorter-distance signal even though the interference was much stronger for both simulated convolutive mixtures and real-recorded mixtures in an office room.

Published in:

Electronics Letters  (Volume:47 ,  Issue: 2 )