A Bayesian Approach to the Speech Subspace Estimation
Abstract
In all previous chapters, we showed the importance of the speech subspace; so it is extremely important in practice to find good ways to estimate it. One very promising possibility is the Bayesian approach based on the Stiefel manifold and the Bingham distribution. This chapter explores this avenue. We would like to point out that all the ideas presented in the following are borrowed from [1] but adapted to our specific problem of speech enhancement.
Keywords
Subspace estimation; Bayesian approach; Stiefel manifold; Bingham distribution
In all previous chapters, we showed the importance of the speech subspace; so it is extremely important in practice to find good ways to ...
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