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http://dx.doi.org/10.9717/kmms.2016.19.7.1127

Adaptive Noise Canceller for Speech Enhancement Using 2-D Binary Mask  

Lee, Gihyoun (Dept. of Medical & Biological Eng., Graduate School, Kyungpook National University)
Lee, Jyung Hyun (Dept. of Biomedical Eng., School of Medicine, Kyungpook National University)
Cho, Jin-Ho (School of Electronics Eng., College of IT Engineering, Kyungpook National University)
Kim, Myoung Nam (Dept. of Biomedical Eng., School of Medicine, Kyungpook National University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.7, 2016 , pp. 1127-1136 More about this Journal
Abstract
Speech enhancement algorithm plays an important role in numerous speech signal processing applications. Over the last few decades, many algorithms have been studied for speech enhancement. The algorithms are based on spectral subtraction, Wiener filter, and subspace method etc. They have good performance of speech enhancement, but the performance can be deteriorated in specific noises or low SNR environment. In this paper, a new speech enhancement algorithms are proposed based on adaptive noise canceller. And the proposed algorithm improved performance of adaptive noise cancelling using 2-D binary mask. From objective experimental index, it is confirmed that the proposed algorithm is useful and has better performance than recently proposed speech enhancement algorithms.
Keywords
Speech Enhancement; Adaptive Noise Canceller; 2-D Binary Mask;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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