Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.596164
