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

Volume

2

fYear

1997

Firstpage

479

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/TENCON.1997.648249

Filename

648249