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» A hierarchical point process model for speech recognition
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ICASSP
2008
IEEE
15 years 4 months ago
Audiovisual-to-articulatory speech inversion using Active Appearance Models for the face and Hidden Markov Models for the dynami
We are interested in recovering aspects of vocal tract’s geometry and dynamics from auditory and visual speech cues. We approach the problem in a statistical framework based on ...
Athanassios Katsamanis, George Papandreou, Petros ...
CAIP
2009
Springer
185views Image Analysis» more  CAIP 2009»
15 years 4 months ago
Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System
Abstract. Tracking of articulated objects is a challenging task in Computer Vision. A highly target specific model can improve the robustness of the tracking by eliminating or red...
Nicole M. Artner, Adrian Ion, Walter G. Kropatsch
NAACL
1994
14 years 11 months ago
Statistical Language Processing Using Hidden Understanding Models
This paper introduces a class of statistical mechanisms, called hidden understanding models, for natural language processing. Much of the framework for hidden understanding models...
Scott Miller, Richard M. Schwartz, Robert J. Bobro...
IPCV
2008
14 years 11 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop
TSD
2005
Springer
15 years 3 months ago
Modelling Lexical Stress
Human listeners use lexical stress for word segmentation and disambiguation. We look into using lexical stress for speech recognition by examining a Dutch-language corpus. We propo...
Rogier C. van Dalen, Pascal Wiggers, Léon J...