8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Speech Enhancement Using Weighting Function Based on the Variance of Wavelet Coefficients

Ching-Ta Lu, Hsiao-Chuan Wang

National Tsing Hua University, Taiwan

There are few works on the problem of heavy noise corruption in wavelet-based speech enhancement. In this paper, a new method is introduced to adapt the weighting function for wavelet coefficients (WCs) in each subband. The idea is based on that the change of WC variance in speech-dominated frames is larger than the change of WC variance in noise-dominated frames. We can define a weighting function for WCs in each subband so that WCs are preserved in speech-dominated frames and reduced in noise-dominated frames. Then a weighting function in terms of WC's variance is derived. The experimental results show that the proposed method is more robust than that of SNR adjusted speech enhancement system.

Full Paper

Bibliographic reference.  Lu, Ching-Ta / Wang, Hsiao-Chuan (2003): "Speech enhancement using weighting function based on the variance of wavelet coefficients", In EUROSPEECH-2003, 521-524.