Two-Kalman filters based instrumental variable techniques for speech enhancement

Abstract

When a single sequence of noisy observations is available, the autoregressive (AR)-model based methods using Kalman-filter make it possible to enhance speech. However, the estimation of the AR parameters is required, but is still a challenging problem as the signal is corrupted by an additive noise. In this paper, we propose to both estimate the signal and… (More)
DOI: 10.1109/MMSP.2004.1436571

Topics

4 Figures and Tables

Cite this paper

@article{Labarre2004TwoKalmanFB, title={Two-Kalman filters based instrumental variable techniques for speech enhancement}, author={David Labarre and Eric Grivel and Mohamed Najim and Ezio Todini}, journal={IEEE 6th Workshop on Multimedia Signal Processing, 2004.}, year={2004}, pages={375-378} }