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Methods for noise cancellation based on the EM algorithm

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3 Author(s)
Feder, M. ; Massachusetts Institute of Technology, Cambridge, MA ; Oppenheim, A.V. ; Weinstein, E.

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. In this paper we formulate a new approach to multiple microphone speech enhancement. Specifically, we 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 EM (Estimate-Maximize) technique. The resulting algorithm shows encouraging results when applied to the speech enhancement problem.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.  (Volume:12 )

Date of Conference:

Apr 1987