Title :
Maximum likelihood estimation for multivariate mixture observations of markov chains (Corresp.)
Author :
Juang, B.H. ; Levinson, Stephen E. ; Sondhi, M.M.
fDate :
3/1/1986 12:00:00 AM
Abstract :
To use probabilistic functions of a Markov chain to model certain parameterizations of the speech signal, we extend an estimation technique of Liporace to the eases of multivariate mixtures, such as Gaussian sums, and products of mixtures. We also show how these problems relate to Liporace´s original framework.
Keywords :
Markov processes; maximum-likelihood (ML) estimation; Algorithm design and analysis; Application software; Digital filters; Discrete transforms; Filtering; Image processing; Maximum likelihood estimation; Signal processing algorithms; Speech processing; Wiener filter;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1986.1057145