Maximum Likelihood Noise Cancellation Using The Em Algorithm

Meir Feder, Alan V. Oppenheim, Ehud Weinstein

Research output: Contribution to journalArticlepeer-review

Abstract

Single-microphone speech enhancement systems have typically shown limited performance. Two-microphone systems based on a least-squares error criterion have shown better results in some contexts; however, sometimes the desired (speech) signal is cancelled together with the noise. In this paper we suggest a new approach to the two-microphone speech enhancement problem. Specifically, we formulate a maximum likelihood (ML) problem for estimating the parameters needed for cancelling the noise, and then, we solve this ML problem via the iterative EM (Estimate-Maximize) technique. The resulting procedure shows encouraging results that improve upon the “classical” least-squares approach.

Original languageEnglish
Pages (from-to)204-216
Number of pages13
JournalIEEE Transactions on Acoustics, Speech, and Signal Processing
Volume37
Issue number2
DOIs
StatePublished - Feb 1989

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