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» Nonlinear Predictive Control with a Gaussian Process Model
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ICASSP
2009
IEEE
15 years 8 months ago
Combining mixture weight pruning and quantization for small-footprint speech recognition
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
David Huggins-Daines, Alexander I. Rudnicky
101
Voted
ICASSP
2008
IEEE
15 years 8 months ago
Sequential experimental design for misspecified nonlinear models
In design of experiments for nonlinear regression model identification, the design criterion depends on the unknown parameters to be identified. Classical strategies consist in ...
H. ElAbiad, Laurent Le Brusquet, Marie-Eve Davoust
CGF
2007
135views more  CGF 2007»
15 years 1 months ago
Prediction of Individual Non-Linear Aging Trajectories of Faces
Represented in a Morphable Model, 3D faces follow curved trajectories in face space as they age. We present a novel algorithm that computes the individual aging trajectories for g...
Kristina Scherbaum, Martin Sunkel, Hans-Peter Seid...
94
Voted
ICASSP
2009
IEEE
15 years 8 months ago
Control of prosodic focus in corpus-based generation of fundamental frequency contours of Japanese based on the generation proce
A total corpus-based process of generating prosodic features from text is developed. The process first predicts pauses and phone durations, and then generates F0 contours. Since F...
Keiko Ochi, Keikichi Hirose, Nobuaki Minematsu
JDCTA
2010
155views more  JDCTA 2010»
14 years 8 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao