NDLI: Comparison of different order cumulants in a speech enhancement system by adaptive Wiener filtering

Content Provider	IEEE Xplore Digital Library
Author	Salavedra, J.M. Masgrau, E. Moreno, A. Jove, X.
Copyright Year	1993
Description	Author affiliation: Dept. of Signal Theory & Commun. Univ. Politecnica de Catalunya, Barcelona, Spain (Salavedra, J.M.)
Abstract	The authors study some speech enhancement algorithms based on the iterative Wiener filtering method due to Lim and Oppenheim (1978), where the AR spectral estimation of the speech is carried out using a second-order analysis. But in their algorithms the authors consider an AR estimation by means of a cumulant (third- and fourth-order) analysis. The authors provide a behavior comparison between the cumulant algorithms and the classical autocorrelation one. Some results are presented considering the noise (additive white Gaussian noises) that allows the best improvement and those noises (diesel engine and reactor noise) that leads to the worst one. And exhaustive empirical test shows that cumulant algorithms outperform the original autocorrelation algorithm, specially at low SNR.
Starting Page	61
Ending Page	65
File Size	454671
Page Count	5
File Format	PDF
ISBN	0780312384
DOI	10.1109/HOST.1993.264596
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-06-07
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech enhancement Adaptive systems Wiener filter Additive white noise Gaussian noise Iterative algorithms Speech analysis Algorithm design and analysis Autocorrelation Filtering algorithms
Content Type	Text
Resource Type	Article

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