On the Application of the Unscented Kalman Filter to Speech Processing
نویسندگان
چکیده
In a series of recent studies a new approach for applying the Kalman filter to nonlinear system, referred to as Unscented Kalman filter (UKF), was proposed. In this contribution we apply the UKF to several speech processing problems, in which a model with unknown parameters is given to the measured signals. We show that the nonlinearity arises naturally in these problems. Preliminary simulation results for artificial signals manifests the potential of the method.
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