1084 search results - page 55 / 217 » Hidden Markov Models with Multiple Observation Processes |
104
click to vote
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
ECML
2005
Springer
15 years 5 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
100
click to vote
NIPS
2008
15 years 1 months ago
2008
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
INTERSPEECH
2010
14 years 6 months ago
2010
In this paper, we present efficient HMM-based techniques for estimating missing features. By assuming speech features to be observations of hidden Markov processes, we derive a mi...
UAI
2004
15 years 1 months ago
2004
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...