1243 search results - page 91 / 249 » Reduced-Rank Hidden Markov Models |
140
Voted
ACL
2010
15 years 2 months ago
2010
We introduce a novel mechanism for incorporating articulatory dynamics into speech recognition with the theory of task dynamics. This system reranks sentencelevel hypotheses by th...
133
Voted
BMCBI
2005
15 years 4 months ago
2005
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
184
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CSL
2011
Springer
14 years 11 months ago
2011
Springer
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gauss...
138
Voted
CVPR
1998
IEEE
16 years 6 months ago
1998
IEEE
In previous work [14], we modify the hidden Markov model (HMM) framework to incorporate a global parametric variation in the output probabilities of the states of the HMM. Develop...
144
Voted
PAMI
2007
15 years 4 months ago
2007
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...