29 search results - page 1 / 6 » Improving the IBM Alignment Models Using Variational Bayes |
ACL
2012
11 years 7 months ago
2012
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
AMTA
2004
Springer
13 years 10 months ago
2004
Springer
German has a richer system of inflectional morphology than English, which causes problems for current approaches to statistical word alignment. Using Giza++ as a reference implemen...
IICAI
2007
13 years 6 months ago
2007
In recent years statistical word alignment models have been widely used for various Natural Language Processing (NLP) problems. In this paper we describe a platform independent and...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
This paper presents the use of online Variational Bayes method for online Voice Activity Detection (VAD) in an unsupervised context. In conventional VAD, the final step often rel...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper addresses the problem of Voice Active Detection (VAD) in noisy environments. We introduce Variational Bayes approach to EM for classification to replace the heuristic ...