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135
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ICASSP
2009
IEEE
15 years 9 months ago
Modelling the prepausal lengthening effect for speech recognition: a dynamic Bayesian network approach
Speech has a property that the speech unit preceding a speech pause tends to lengthen. This work presents the use of a dynamic Bayesian network to model the prepausal lengthening ...
Ning Ma, Chris Bartels, Jeff A. Bilmes, Phil Green
143
Voted
ICASSP
2008
IEEE
15 years 9 months ago
Stream weight tuning in dynamic Bayesian networks
In this paper we present a family of algorithms for estimating stream weights for dynamic Bayesian networks with multiple observation streams. For the 2 stream case, we present a ...
Arthur Kantor, A. Hasegawa-Johnson
133
Voted
ICMCS
2008
IEEE
118views Multimedia» more  ICMCS 2008»
15 years 9 months ago
A stochastic model of selective visual attention with a dynamic Bayesian network
Recent studies in signal detection theory suggest that the human responses to the stimuli on a visual display are nondeterministic. People may attend to different locations on the...
Derek Pang, Akisato Kimura, Tatsuto Takeuchi, Junj...
ICPR
2008
IEEE
15 years 9 months ago
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...
Norio Tagawa, Junya Kawaguchi, Shoichi Naganuma, K...
113
Voted
ICPR
2008
IEEE
15 years 9 months ago
Robust modeling and recognition of hand gestures with dynamic Bayesian network
In this paper, we propose a new gesture recognition model for a set of both one-hand and two-hand gestures based on the dynamic Bayesian network framework which makes it easy to r...
Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee