Causal multi quantile noise spectrum estimation for speech enhancement

Mohsen Farhadloo, Abolghasem Sayadian, Meysam Asgari, Ali Mostafavi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Suppression of additive noise from speech signal is a fundamental problem in audio signal processing. We present in this paper a novel algorithm for single channel speech enhancement. The algorithm consists of two steps: First, estimation of the noise power spectrum with a multi quantile method and second, elimination of the estimated noise from the observed signal by spectral subtraction or Wiener filtering. In this method, instead of a global quantile for all frequency bands, we divide the entire frequency band into three regions and use different quantile in each region. Our simulation results show that the new method has better performance than quantile based noise estimation.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 Australasian Telecommunication Networks and Applications Conference, ATNAC 2008
Pages112-115
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 Australasian Telecommunication Networks and Applications Conference, ATNAC 2008 - Adelaide, SA, Australia
Duration: Dec 7 2008Dec 10 2008

Publication series

NameProceedings of the 2008 Australasian Telecommunication Networks and Applications Conference, ATNAC 2008

Conference

Conference2008 Australasian Telecommunication Networks and Applications Conference, ATNAC 2008
CountryAustralia
CityAdelaide, SA
Period12/7/0812/10/08

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

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