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FLAIRS
2006
13 years 6 months ago
An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
Shieu-Hong Lin
ICASSP
2010
IEEE
13 years 5 months ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou
DCC
2005
IEEE
14 years 4 months ago
Asymptotics of the Entropy Rate for a Hidden Markov Process
We calculate the Shannon entropy rate of a binary Hidden Markov Process (HMP), of given transition rate and noise (emission), as a series expansion in . The first two orders are ca...
Or Zuk, Ido Kanter, Eytan Domany
ECML
2005
Springer
13 years 10 months ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont
TIT
2002
91views more  TIT 2002»
13 years 4 months ago
Hidden Markov processes
An overview of statistical and information-theoretic aspects of hidden Markov processes (HMPs) is presented. An HMP is a discrete-time finite-state homogeneous Markov chain observe...
Yariv Ephraim, Neri Merhav