METHODS FOR NOISE CANCELLATION BASED ON THE EM ALGORITHM.

Meir Feder*, Alan V. Oppenheim, Ehud Weinstein

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Single-microphone speech enhancement systems have typically shown limited performance, while multiple-microphone systems based on a least-squares error criterion have shown encouraging results in some contexts. The authors formulate an approach to multiple-microphone speech enhancement. Specifically, they formulate a maximum likelihood (ML) problem for estimating the parameters needed for canceling the noise in a two-microphone speech enhancement system. This ML problem is solved via the iterative estimate-maximize technique. The resulting algorithm shows encouraging results when applied to the speech enhancement problem.

Original languageEnglish
Pages (from-to)201-204
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
StatePublished - 1987
Externally publishedYes

Fingerprint

Dive into the research topics of 'METHODS FOR NOISE CANCELLATION BASED ON THE EM ALGORITHM.'. Together they form a unique fingerprint.

Cite this