A Novel Noise Robust Front-End Using First Order VTS in Construction of Mel-Warped Wiener Filter

Author

Su, Mu ; Li, Peng ; Wang, Zhuo ; Ding, Peng ; Xu, Bo

Author_Institution

Hi-Tech Innovation Center, Chinese Acad. of Sci., Beijing

Volume

1

fYear

2006

fDate

14-19 May 2006

Abstract

In this paper, we first review two approaches in the context of robust recognition, e.g. speech enhancement based two-stage mel-warp Wiener filtering (MWF) (A. Agarwal and Y.M. Cheng, 1999) and first-order vector Taylor series (VTS) (P.J. Moreno et al., 1996) compensation in log power spectrum, which are widely used. A new noise robust front-end is proposed, in which VTS compensation derived statistics are used to construct the mel-warped Wiener filter. We will show that this noise robust front end is superior. The experiments results prove that our proposed method does show significant improvement over VTS and MWF

Keywords

Wiener filters; speech enhancement; speech recognition; statistics; compensation-derived statistics; first-order vector Taylor series; mel-warped Wiener filter; noise robust front-end; robust recognition; speech enhancement; Additive noise; Automatic speech recognition; Automation; Noise robustness; Recursive estimation; Speech enhancement; Statistics; Taylor series; Technological innovation; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660136

Filename

1660136