Kalman filtering for low distortion speech enhancement in mobile communication

Author

Sorqvist, P. ; Händel, Peter ; Ottersten, Björn

Author_Institution

Audio & Visual Technol. Res., Ericsson Radio Syst. AB, Stockholm, Sweden

Volume

2

fYear

1997

fDate

21-24 Apr 1997

Firstpage

1219

Abstract

This paper presents a model-based approach for noise suppression of speech contaminated by additive noise. A Kalman filter based speech enhancement system is presented and its performance is investigated in detail. It is shown that with a novel speech parameter estimation algorithm, it is possible to achieve 10 dB noise suppression with a high total audible quality

Keywords

Kalman filters; acoustic filters; acoustic noise; acoustic signal processing; interference suppression; land mobile radio; parameter estimation; speech enhancement; 10 dB; Kalman filtering; additive noise; low distortion speech enhancement; mobile communication; model-based approach; noise suppression; performance; speech parameter estimation algorithm; total audible quality; Acoustic noise; Background noise; Colored noise; Filtering; Kalman filters; Mobile communication; Parameter estimation; Signal processing; Speech enhancement; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.596164

Filename

596164