Publications – Details

 

Modified Kalman Filter Exploiting Interframe Correlation of Speech and Noise Magnitudes

Authors:

Thomas Esch and Peter Vary

Book Title:

Proceedings of International Workshop on Acoustic Echo and Noise Control (IWAENC)

Venue:

Seattle, Washington, USA

Organization:

University of Washington

Date:

Sept. 2008

Language:

English

Abstract

A new method for single channel speech enhancement is presented which relies on a Kalman filter structure. The proposed scheme uses a two step approach. In the first step, temporal correlation of successive speech and noise magnitudes is exploited. Therefore, the current samples are propagated in time based on information taken from previous, enhanced samples. The resulting prediction errors are estimated in a second step by utilizing different statistical estimators. The performance of the proposed method is shown to be considerably better than purely statistical estimators which do not take into account temporal correlation.

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