187 search results - page 8 / 38 » A Markov Random Field Model for Automatic Speech Recognition |
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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We show a novel approach of automatically generating minutes style extractive summaries for parliamentary speech. Minutes are structured summaries consisting of sequences of busin...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
ECCV
1994
Springer
13 years 12 months ago
1994
Springer
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
INTERSPEECH
2010
13 years 2 months ago
2010
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme...