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» Statistical Goal Parameter Recognition
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TWC
2008
159views more  TWC 2008»
13 years 7 months ago
Hierarchical Space-Time Block Code Recognition Using Correlation Matrices
The blind recognition of communication parameters is a key research issue for commercial and military communication systems. The results of numerous investigations about symbol tim...
Vincent Choqueuse, Koffi Yao, Ludovic Collin, Gill...
ICASSP
2009
IEEE
14 years 2 months ago
Trajectory training considering global variance for HMM-based speech synthesis
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
Tomoki Toda, Steve Young
ECCV
2008
Springer
14 years 9 months ago
3D Face Model Fitting for Recognition
This paper presents an automatic efficient method to fit a statistical deformation model of the human face to 3D scan data. In a global to local fitting scheme, the shape parameter...
Frank B. ter Haar, Remco C. Veltkamp
TASLP
2002
96views more  TASLP 2002»
13 years 7 months ago
MAP speaker adaptation of state duration distributions for speech recognition
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, ...
Néstor Becerra Yoma, Jorge Silva Sán...
CVPR
2007
IEEE
14 years 9 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter