In this paper we study some speech enhancement algorithms based on the iterative Wiener method due to Lim and Oppenheim [1], but where the AR spectral estimation of the speech is carried out using a third order cumulant analysis. This work extends some preceding papers due to the authors, providing a detailed analytical study of the convergence of the iterative algorithms. This analysis allows to understand the behaviour of the original [1] and the proposed cumulant algorithms, providing some insigths and suggestions to develop new and improved algorithms. An exhaustive empirical analysis establishs that the hybrid algorithm presented in [3] by the authors outperforms the original correlation algorithm, specially at low SNR largerly.
Cite as: Masgrau, E., Salavedra, J., Moreno, A., Ardanuy, A. (1992) Speech enhancement by adaptive Wiener filtering based on cumulant AR modelling. Proc. ETRW on Speech Processing in Adverse Conditions, 143-146
@inproceedings{masgrau92_spac,
author={E. Masgrau and J. Salavedra and Asunción Moreno and A. Ardanuy},
title={{Speech enhancement by adaptive Wiener filtering based on cumulant AR modelling}},
year=1992,
booktitle={Proc. ETRW on Speech Processing in Adverse Conditions},
pages={143--146}
}