Maximum likelihood estimation for multivariate mixture observations of markov chains (Corresp.)

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 or...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on information theory 1986-03, Vol.32 (2), p.307-309
Main Authors: Bing-Hwang Juang, Levinson, S., Sondhi, M.
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
Information, signal and communications theory
Telecommunications and information theory
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0018-9448
1557-9654
DOI:10.1109/TIT.1986.1057145