3790 search results - page 17 / 758 » Advances in Mixture Models |
ICIP
2001
IEEE
14 years 11 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
NN
2002
Springer
13 years 9 months ago
2002
Springer
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approa...
CSL
2011
Springer
13 years 4 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...
JCB
2006
13 years 9 months ago
2006
For a model of molecular evolution to be useful for phylogenetic inference, the topology of evolutionary trees must be identifiable. That is, from a joint distribution the model p...