Speech Enhancement using Weight Variance of Wavelet
نویسندگان
چکیده
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 noisedominated frames. We can define a weighting function for WCs in each subband so that WCs are preserved in speechdominated 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.
منابع مشابه
Speech enhancement using weighting function based on the variance of wavelet coefficients
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 variance of WCs in speech-dominated frames is larger than the variance of WCs in noise-dominated frames. We can define a weighting function for WCs...
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