Title :
Speech enhancement using bionic wavelet transform and adaptive threshold function
Author :
Xi, Yang ; Bing-Wu, Liu ; Fang, Yan
Author_Institution :
Sch. of Inf., Beijing Wuzi Univ., Beijing, China
Abstract :
By the use of the Bionic Wavelet Transform and adaptive threshold function, this paper presents an improved wavelet-based speech enhancement method, Adaptive Bionic Wavelet Speech Enhancement. Due to the integration of human auditory system model into the wavelet transform, the main advantage of the proposed method is that the over thresholding of speech segments which is usually occurred in conventional wavelet-based speech enhancement schemes can be avoided. Then it can track the variation of noisy speech without the estimation of the a priori knowledge of SNR. As a consequence, the enhanced speech quality of the proposed method can be increased substantially from those of conventional approaches.
Keywords :
biocybernetics; speech enhancement; wavelet transforms; adaptive bionic wavelet speech enhancement; adaptive threshold function; bionic wavelet transform; enhanced speech quality; human auditory system model; noisy speech; Noise measurement; Production facilities;
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
DOI :
10.1109/CINC.2010.5643844