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KMID : 0917519980040020055
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Journal of Speech Sciences
1998 Volume.4 No. 2 p.55 ~ p.68
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A Study on the Optimal Feature Extraction and Cmplex Adaptive Filter for a speech recognition
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차태호/Cha, T. H.
장승관/최웅세/최일홍/김창석/Jang, S. K./Choi, U. S./Choi, I. H./Kim, C. S.
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Abstract
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In this paper, a novel method of noise reduction of speech based on a complex adaptive noise canceler and method of optimal feature extraction are proposed. this complex adaptive noise canceler needs simply the noise detection, and LMS algorithm used to calculate the adaptive filter coefficient. The method of optimal feature extraction requires the variance of noise.
The experimental results have shown that the proposed method effectively reduced noise in noisy speech. Optimal feature extraction has shown similar characteristics in noise-free speech.
Keywords : adaptive noise canceler, feature extraction, LMS algorithm
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