Abstract
This letter presents covariance matrix adaptation based upon the incorporation of the projection-based group delay scheme (PGDS) with a semi-continuous hidden Markov model (HMM) for the minimization of undesirable effects in noisy environments. The proposed approach fits the covariance matrix using a variance adaptive function to balance the mismatch between different environments.
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