Research on speech enhancement based on perceptual wavelet transform
基于感知小波变换的语音增强方法研究

A perceptual wavelet constructed under ERB scale accorded with the perceptual of human hearing system, used pure mathematics method to calculate its paraneter and the perceptual wavelet could reconstructe faultlessly in auditory perception. Used perceptual wavelet to decompose noisy speech. Used an infinite-order derivative function which was similar to the soft threshold on sub-band level of spech signals, then used spectral subtraction in the second time speech enhancement. Experiment result shows the algorithm is highly improved both SNR and PESQ scores, especially when the SNR is high, the speech has well definition and intelligibility.