Title :
A single microphone Kalman filter-based noise canceller
Author :
Gabrea, M. ; Grivel, E. ; Najun, M.
Author_Institution :
Equipe Signal et Image, ENSER Bordeaux, Talence, France
fDate :
3/1/1999 12:00:00 AM
Abstract :
A great deal of attention has been paid to speech enhancement using a single microphone system. The various approaches, based on the Kalman filter, operate in two steps: (1) the noise variances and the parameters of the speech model are estimated, and (2) the speech signal is retrieved using standard Kalman filtering. This letter presents an alternative solution that does not require the explicit estimation of the noise and the driving process variances. This deals with a new formulation of the approach proposed within a control literature framework by Mehra (1970).
Keywords :
Kalman filters; acoustic filters; acoustic noise; interference suppression; microphones; parameter estimation; speech enhancement; control literature framework; noisy speech; parameter estimation; single microphone Kalman filter-based noise canceller; speech enhancement; speech signal; Autoregressive processes; Filtering; Kalman filters; Microphones; Noise cancellation; Parameter estimation; Signal processing; Speech enhancement; Speech processing; White noise;
Journal_Title :
Signal Processing Letters, IEEE