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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Highly Cited

2003

Highly Cited

2003

- Björn W. Schuller, Gerhard Rigoll, Manfred K. Lang
- ICASSP
- 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

- Andrew D. Wilson, Aaron F. Bobick
- IEEE Trans. Pattern Anal. Mach. Intell.
- 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

- David R. H. Miller, Tim Leek, Richard M. Schwartz
- SIGIR
- 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

- Matthew S. Crouse, Robert D. Nowak, Richard G. Baraniuk
- IEEE Trans. Signal Processing
- 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

- Zoubin Ghahramani, Michael I. Jordan
- Machine Learning
- 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

- Chris Leggetter, Philip C. Woodland
- Computer Speech & Language
- 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

- Sean R. Eddy
- ISMB
- 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

- Junji Yamato, Jun Ohya, Kenichiro Ishii
- CVPR
- 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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