Audio-video biometric recognition for non-collaborative access granting
Journal of Visual Languages and Computing
Restoration of audio documents by means of extended Kalman filter
IEEE Transactions on Audio, Speech, and Language Processing
Hi-index | 35.68 |
The problem of elimination of measurement noise and impulsive disturbances from autoregressive and autoregressive moving average signals is considered. It is shown that the task of simultaneous detection/tracking/restoration can be stated as a nonlinear filtering problem and solved using the theory of extended Kalman filter. Numerical tests carried out for real audio signals corrupted by both real and artificially generated disturbances confirm very good properties of the proposed algorithm