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

Gongping Huang, Jingdong Chen, Jacob Benesty

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages206-210
Number of pages5
ISBN (Electronic)9781467369978
DOIs
StatePublished - 4 Aug 2015
Event40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia
Duration: 19 Apr 201424 Apr 2014

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2015-August
ISSN (Print)1520-6149

Conference

Conference40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Country/TerritoryAustralia
CityBrisbane
Period19/04/1424/04/14

Keywords

  • frequency domain
  • Noise reduction
  • parametric gain
  • single-channel
  • speech enhancement
  • Wiener gain

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