SPEECH ENHANCEMENT USING A MIXTURE-MAXIMUM MODEL

David Burshtein, Sharon Gannot

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

We present a new spectral domain, speech enhancement algorithm. The new algorithm is based on a mixture model for the short time spectrum of the clean speech signal, and on a maximum assumption in the production of the noisy speech spectrum. The new algorithm is shown to be effective for improving the quality of speech signals corrupted by additive noise. The computational requirements of the algorithm can be significantly reduced, essentially without paying performance penalties, by incorporating a dual codebook scheme with tied variances. Experiments, using recorded speech signals and actual noise sources, show that in spite of its low computational requirements, the algorithm shows improved performance compared to alternative speech enhancement algorithms.

Original languageEnglish
Pages2591-2594
Number of pages4
StatePublished - 1999
Externally publishedYes
Event6th European Conference on Speech Communication and Technology, EUROSPEECH 1999 - Budapest, Hungary
Duration: 5 Sep 19999 Sep 1999

Conference

Conference6th European Conference on Speech Communication and Technology, EUROSPEECH 1999
Country/TerritoryHungary
CityBudapest
Period5/09/999/09/99

Bibliographical note

Publisher Copyright:
© 1999 6th European Conference on Speech Communication and Technology, EUROSPEECH 1999. All rights reserved.

Fingerprint

Dive into the research topics of 'SPEECH ENHANCEMENT USING A MIXTURE-MAXIMUM MODEL'. Together they form a unique fingerprint.

Cite this