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.
|Number of pages||4|
|Journal||Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing|
|State||Published - 1987|