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Nose Estimation and Suppression methods based on Normalized Variance in Time-Frequency for Speech Enhancement  

Lee, Soo-Jeong (BK21 post-doc, Sungkyunkwan University)
Kim, Soon-Hyob (Computer Eng., Kwangwoon University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.1, 2009 , pp. 87-94 More about this Journal
Abstract
Noise estimation and suppression are a crucial factor of many speech communication and recognition systems. In this paper, proposed algorithm is based on the ratio of variance normalized of noisy power spectrum in time-frequency domain. Our proposed algorithm tracks the threshold and controls the trade-off between residual noise and distortion. This algorithm is evaluated by the ITU-T P.835 signal distortion (SIG) and segment signal to noise ratio (SNR), and is superior to the conventional methods.
Keywords
Noise estimation; Speech enhancement; Noise suppression;
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