Fast self-adapting broadband noise removal in the cepstral domain

Author

Wu, C.S. ; Nguyen, V.V. ; Sabrin, H. ; Kushner, W. ; Damoulakis, J.

Author_Institution

Martin Marietta Aero & Naval Syst., Glen Burnie, MD, USA

fYear

1991

fDate

14-17 Apr 1991

Firstpage

957

Abstract

A fast self-adapting algorithm to remove broadband noise in the cepstral domain is presented. Noise removal is accomplished by cepstral subtraction in a manner which allows subtraction factors to be derived adaptively, based on the local signal-to-noise ratio (SNR) of each signal frame. Finite averaging noise estimates are used to minimize the adaptation time. The algorithm yields good speech quality with little spectral distortion. The algorithm has proven to be a useful and efficient tool for speech processing in the fast-changing F-15/F-16 aircraft cockpit environment

Keywords

aircraft communication; interference suppression; military systems; noise; speech analysis and processing; speech intelligibility; F-15/F-16 aircraft cockpit; adaptation time; broadband noise removal; cepstral domain; cepstral subtraction; fast self-adapting algorithm; finite averaging noise estimates; military aircraft; signal frame; speech processing; speech quality; Acoustic distortion; Acoustic noise; Aircraft; Cepstral analysis; Noise reduction; Noise shaping; Signal to noise ratio; Speech enhancement; Speech processing; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150499

Filename

150499