Combining multisource wiener filtering with parallel beamformers to reduce noise from interfering talkers

Heather E. Ewalt, Michael T. Johnson

Research output: Contribution to conferencePaperpeer-review

Abstract

The ability to extract a primary speech signal from an environment with multiple speakers is an important issue [1.2] in speech processing. This paper presents a method for incorporating multiple parallel beamformers with a Wiener filter. By iteratively improving the spectral magnitude estimates of each speech source, substantial improvement in overall signal separation can be obtained. The performance of the algorithm is illustrated using a simulated multiple speaker environment with resulting SNR and sSNR plots.

Original languageEnglish
Pages455-458
Number of pages4
StatePublished - 2004
Event2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, China
Duration: Aug 31 2004Sep 4 2004

Conference

Conference2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
Country/TerritoryChina
CityBeijing
Period8/31/049/4/04

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Combining multisource wiener filtering with parallel beamformers to reduce noise from interfering talkers'. Together they form a unique fingerprint.

Cite this