153 search results - page 26 / 31 » Bayesian sensing hidden Markov models for speech recognition |
ICIP
2005
IEEE
15 years 4 months ago
2005
IEEE
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
LREC
2010
15 years 16 days ago
2010
Current state-of-the-art systems for automatic phonetic transcription (APT) are mostly phone recognizers based on Hidden Markov models (HMMs). We present a different approach for ...
111
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BMCBI
2010
14 years 11 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
COLT
1994
Springer
15 years 3 months ago
1994
Springer
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
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CVPR
2012
IEEE
13 years 1 months ago
2012
IEEE
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...