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http://dx.doi.org/10.6109/jkiice.2013.17.8.1769

A Generalized Subspace Approach for Enhancing Speech Corrupted by Colored Noise Using Voice Activity Detector(VAD)  

Son, Kyung-Sik (Department of Electronics Engineering, Pusan National University)
Kim, Hyun-Tae (Department of Multimedia Engineering, Dongeui University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.8, 2013 , pp. 1769-1776 More about this Journal
Abstract
In this paper, we proposed the modified YL(Yi and Loizou) algorithm, using a VAD(voice activity detector) for enhancing speech corrupted by colored noise. The performance of the proposed algorithm has been compared to the YL algorithm and LS(Lee and Son, etc.) algorithm by computer simulation. The colored noises used in the experiment were a car noise and multi-talker babble from the AURORA data base and the used voices from the TIMIT data base. It is confirmed that the proposed algorithm shows better performance from SNR(signal to noise ratio) and SSD(speech spectral distortion) viewpoint over the previous two approach.
Keywords
Speech Enhancement; Generalized Subspace Approach; Voice Activity Detector;
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Times Cited By KSCI : 1  (Citation Analysis)
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