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Hidden Markov models with templates as non-stationary states: an application to speech recognition

โœ Scribed by Oded Ghitza; M.Mohan Sondhi

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
619 KB
Volume
7
Category
Article
ISSN
0885-2308

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In this paper we report our development of a new class of hidden Markov models (HMMs) with each state characterized by a time series model which is non-stationary up to the second order. A closeform solution for the model parameter estimation is obtained based on the EM algorithm and on the matrix-c