Title :
Wavelet based speech enhancement using a new thresholding algorithm
Author :
Ayat, Saeed ; Manzuri, Mohammad T. ; Dianat, Roohollah
Author_Institution :
Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
In this paper, wavelet based speech enhancement is considered. In this method, the noisy signal transfers to the wavelet domain. Then, by applying a thresholding algorithm, the wavelet coefficients can be improved. Finally, using the inverse wavelet transform, the enhanced signal can be obtained. We have presented a new method for the thresholding algorithm. We compared our algorithm with some of the most popular methods by several experimental tests. Both subjective and objective tests show better performance and achievement.
Keywords :
AWGN; signal denoising; speech enhancement; wavelet transforms; additive white Gaussian noise; thresholding denoising algorithm; wavelet based speech enhancement; wavelet transform coefficients; Discrete wavelet transforms; Noise reduction; Speech analysis; Speech enhancement; Speech processing; Testing; Wavelet coefficients; Wavelet domain; Wavelet transforms; Working environment noise;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2004. Proceedings of 2004 International Symposium on
Print_ISBN :
0-7803-8687-6
DOI :
10.1109/ISIMP.2004.1434044
