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KMID : 1022420090010030095
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Phonetics and Speech Sciences
2009 Volume.1 No. 3 p.95 ~ p.102
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Probabilistic Target Speech Detection and Its Application to Multi-Input-Based Speech Enhancement
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Lee Young-Jae
Kim Su-Hwan
Han Seung-Ho
Han Min-Soo
Kim Young-Il
Jeong Sang-Bae
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Abstract
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In this paper, an efficient target speech detection algorithm is proposed for the performance improvement of multi-input speech enhancement. Using the normalized cross correlation value between two selected channels, the proposed algorithm estimates the probabilistic distribution function of the value from the pure noise interval. Then, log-likelihoods are calculated with the function and the normalized cross correlation value to detect the target speech interval precisely. The detection results are applied to the generalized sidelobe canceller-based algorithm. Experimental results show that the proposed algorithm significantly improves the speech recognition performance and the signal-to-noise ratios.
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KEYWORD
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speech enhancement, speech recognition, microphone array beamforming
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