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» Modeling durations of syllables using neural networks
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NOLISP
2007
Springer
13 years 11 months ago
Word Recognition with a Hierarchical Neural Network
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
COGSCI
2010
83views more  COGSCI 2010»
13 years 5 months ago
Multilevel Exemplar Theory
This paper presents recent research that provides an overarching model of exemplar theory capable of explaining phenomena across the phonetic and syntactic strata. The model repre...
Michael Walsh, Bernd Möbius, Travis Wade, Hin...
CN
2006
70views more  CN 2006»
13 years 5 months ago
Distribution of path durations in mobile ad-hoc networks - Palm's Theorem to the rescue
We first study the distribution of path duration in multi-hop wireless networks. We show that as the number of hops along a path increases, the path duration distribution can be a...
Yijie Han, Richard J. La, Armand M. Makowski, Seun...
IJON
2010
138views more  IJON 2010»
13 years 3 months ago
A dynamic Bayesian network to represent discrete duration models
Originally devoted to specific applications such as biology, medicine and demography, duration models are now widely used in economy, finance or reliability. Recent works in var...
Roland Donat, Philippe Leray, Laurent Bouillaut, P...