A novel method for noise cancellation of speech signals using wavelet packets

Author

Tinati, Mohammad Ali ; Mozaffary, Behzad

Author_Institution

Dept. of Commun. Eng., Tabriz Univ.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

35

Lastpage

38

Abstract

In this paper a novel method for cancellation of broadband/narrowband noise from speech signals is proposed. Independent component analysis (ICA) and wavelet packet approaches have been combined for blind noise separation from mixtures of speech signals. ICA method is used to estimate matrix A, which defines how the mixture signals have been mixed. Wavelet packets are used for de-correlation of approximation of noise and speech. This algorithm is applied to real data with high SNRs and has been able to completely retrieve speech signal from white background noise successfully

Keywords

independent component analysis; signal denoising; speech processing; wavelet transforms; white noise; blind noise separation; broadband noise cancellation; independent component analysis; narrowband noise cancellation; speech signal; wavelet packet approach; white background noise; Adaptive filters; Continuous wavelet transforms; Discrete wavelet transforms; Filter bank; Independent component analysis; Noise cancellation; Speech enhancement; Wavelet analysis; Wavelet packets; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology, 2005, ICACT 2005. The 7th International Conference on

Conference_Location

Phoenix Park

Type

conf

DOI

10.1109/ICACT.2005.245999

Filename

1461727