Investigation of a parametric gain approach to single-channel speech enhancement

Gongping Huang, Jingdong Chen, Jacob Benesty

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

4 Citationer (Scopus)

Abstract

This paper investigates a parametric gain approach to single-channel noise reduction in the frequency domain. In comparison with the traditional parametric Wiener gain, the major novelty of this presented approach is that the parametric gain is formulated to estimate the noise by using the mean-squared error (MSE) between the noise and the noise estimate. The enhanced signal is then obtained by subtracting the noise estimate from the noisy observation signal. We show that this new method is more practical to implement and can produce better noise reduction performance as compared to the traditional parametric Wiener filtering techniques if the order of the parametric gain is not equal to 1. If the order is 1, the parametric gain is similar to the traditional Wiener gain. Simulation results are presented to illustrate the properties of this new approach.

OriginalsprogEngelsk
TitelICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Antal sider5
Vol/bind2015-August
ForlagIEEE
Publikationsdato4 aug. 2015
Sider206-210
Artikelnummer7177961
ISBN (Trykt)9781467369978
DOI
StatusUdgivet - 4 aug. 2015
Udgivet eksterntJa
Begivenhed40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australien
Varighed: 19 apr. 201424 apr. 2014

Konference

Konference40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Land/OmrådeAustralien
ByBrisbane
Periode19/04/201424/04/2014
SponsorThe Institute of Electrical and Electronics Engineers Signal Processing Society
NavnI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN1520-6149

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