Comparison of different order cumulants in a speech enhancement system by adaptive Wiener filtering
Cita com:
hdl:2117/88433
Tipus de documentText en actes de congrés
Data publicació1993
EditorIEEE Press
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
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.
CitacióSalavedra, J., Masgrau, E., Moreno, A. Comparison of different order cumulants in a speech enhancement system by adaptive Wiener filtering. A: International Signal Processing Workshop on Higher Order Statistics. "IEEE Signal Processing Workshop on Higher-Order Statistics June 7-9, 1993, Stanford Sierra Group, South Lake Tahoe, CA, USA". Stanford Sierra Group, South Lake Tahoe, CA: IEEE Press, 1993, p. 61-65.
ISBN0-7803-1238-4
Versió de l'editorhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=264596
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
Comparison of d ... ptive Wiener filtering.pdf | 444,0Kb | Visualitza/Obre |