Kalman filtering for low distortion speech enhancement in mobile communication
Patrik Sörqvist, Peter Händel, Björn Ottersten · 2002
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.