An improved method for speech enhancement based on 2D-DWT using hybrid weiner filtering

Author

Verma, A.R. ; Singh, R.K. ; Kumar, Ajit ; Ranjeet, K.

Author_Institution

PDPM Indian Inst. of Inf. Technol. Design & Manuf. Jabalpur, Jabalpur, India

fYear

2012

fDate

18-20 Dec. 2012

Firstpage

1

Lastpage

6

Abstract

In this paper, a speech enhancement technique proposed by Soon and Koh is examined and improved by exploiting different window functions for pre-processing of speech signals. In this method, instead of using two-dimensional (2-D) Discrete Fourier Transform, Discrete Wavelet Transform is employed with a hybrid wiener filter based on one-dimensional (1-D) wiener filter and 2-D Wiener filter. A comparative study of performance of different window functions such as Blackman, Cosh and Exponential windows has been made in terms of Signal to Noise Ratio (SNR), Maximum Error (ME), and Mean Square Error (MSE). When compared, Cosh window gives the best performance than all other known window functions.

Keywords

discrete Fourier transforms; discrete wavelet transforms; filtering theory; mean square error methods; speech enhancement; 1D Wiener filter; 2D-DWT; Blackman window; Cosh window; ME; MSE; SNR; discrete wavelet transform; exponential window; hybrid Weiner filtering; maximum error; mean square error; one-dimensional Wiener filter; signal-to-noise ratio; speech enhancement technique; speech signal; two-dimensional discrete Fourier transform; window function; DWT; Speech enhancement; wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4673-1342-1

Type

conf

DOI

10.1109/ICCIC.2012.6510241

Filename

6510241