15 search results - page 1 / 3 » Learning non-parametric models of pronunciation |
ICML
1999
IEEE
14 years 11 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
CA
2003
IEEE
14 years 4 months ago
2003
IEEE
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
AAAI
2008
14 years 1 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
ACL
2012
12 years 1 months ago
2012
We address the problem of learning the mapping between words and their possible pronunciations in terms of sub-word units. Most previous approaches have involved generative modeli...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields mode...