Title :
Wavelet for speech denoising
Author :
Soon, Ing Yann ; Koh, Soo Ngee ; Yeo, Chai Kiat
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
This paper presents the use of the wavelet transform for noise reduction in noisy speech signals. The use of different wavelets and different orders have been evaluated for their suitability as a transform for speech noise removal. The wavelets evaluated are the biorthogonal wavelets, Daubechies wavelets, coiflets as well as symlets. Also two different means of filtering the noise in the transformed coefficients are presented. The first method is based on magnitude subtraction while the second method is based on the Wiener filter with a priori signal to noise ratio estimation
Keywords :
Gaussian noise; Wiener filters; filtering theory; spectral analysis; speech processing; wavelet transforms; white noise; Daubechies wavelets; SNR; Wiener filter; biorthogonal wavelets; coiflets; noise filtering; noise reduction; noisy speech signals; signal to noise ratio estimation; spectral magnitude subtraction; speech denoising; speech noise removal; symlets; transformed coefficients; wavelet transform; white Gaussian noise; Additive noise; Discrete transforms; Frequency; Microphones; Noise reduction; Signal resolution; Speech enhancement; Speech processing; Wavelet transforms; Working environment noise;
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-4365-4
DOI :
10.1109/TENCON.1997.648249
