Removal of noise from speech using the dual EKF algorithm

Removal of noise from speech using the dual EKF algorithm

Noise reduction for speech signals has applications ranging from speech enhancement for cellular communications, to front ends for speech recognition systems. A neural network based time-domain method called dual extended Kalman filtering (dual EKF) is presented for removing nonstationary and colore...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Wan, E.A., Nelson, A.T.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Additive noise
Filtering
Kalman filters
Neural networks
Noise reduction
Signal processing
Speech enhancement
Speech processing
State estimation
Time domain analysis
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Beschreibung
Zusammenfassung:Noise reduction for speech signals has applications ranging from speech enhancement for cellular communications, to front ends for speech recognition systems. A neural network based time-domain method called dual extended Kalman filtering (dual EKF) is presented for removing nonstationary and colored noise from speech. This paper describes the algorithm and provides a set of experimental results.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.1998.674447