Hidden Markov model

Known as: Hidden Markov models, Hidden Markov Chain, Hidden Markovian model 
A hidden Markov model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden… (More)
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Topic mentions per year

1969-2018
05001000150019692018

Papers overview

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Highly Cited
2003
Highly Cited
2003
In this contribution we introduce speech emotion recognition by use of continuous hidden Markov models. Two methods are… (More)
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Highly Cited
2001
Highly Cited
2001
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the… (More)
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Highly Cited
1999
Highly Cited
1999
ÐA new method for the representation, recognition, and interpretation of parameterized gesture is presented. By parameterized… (More)
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Highly Cited
1999
Highly Cited
1999
We present a new method for information retrieval using hidden Markov models (HMMs). We develop a general framework for… (More)
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Highly Cited
1998
Highly Cited
1998
Wavelet-based statistical signal processing techniques such as denoising and detection typically model the wavelet coefficients… (More)
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Highly Cited
1995
Highly Cited
1995
Hidden Markov models (HMMs) have proven to be one of the most widely used tools for learning probabilistic models of time series… (More)
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Highly Cited
1995
Highly Cited
1995
A method of speaker adaptation for continuous density hidden Markov models (HMMs) is presented. An initial speaker-independent… (More)
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Highly Cited
1995
Highly Cited
1995
A simulated annealing method is described for training hidden Markov models and producing multiple sequence alignments from… (More)
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Highly Cited
1992
Highly Cited
1992
This paper proposes a new human action recognition method baaed on a Hidden Markov Model (HMM). We do not adopt model-based top… (More)
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Highly Cited
1991
Highly Cited
1991
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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