581 search results - page 20 / 117 » A hierarchical point process model for speech recognition |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
ISVC
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. In this work, synthesis of facial animation is done by modelling the mapping between facial motion and speech using the shared Gaussian process latent variable model. Bot...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
It has always been very difficult to recognize realistic actions from unconstrained videos because there are tremendous variations from camera motion, background clutter, object a...