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» Speech Recognition with Dynamic Bayesian Networks
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ICASSP
2009
IEEE
14 years 7 months ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori
71
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Lexical access experiments with context-dependent articulatory feature-based models
We address the problem of pronunciation variation in conversational speech with a context-dependent articulatory featurebased model. The model is an extension of previous work usi...
Preethi Jyothi, Karen Livescu, Eric Fosler-Lussier
BMCBI
2010
229views more  BMCBI 2010»
14 years 10 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
LREC
2010
196views Education» more  LREC 2010»
14 years 11 months ago
HIFI-AV: An Audio-visual Corpus for Spoken Language Human-Machine Dialogue Research in Spanish
In this paper, we describe a new multi-purpose audio-visual database on the context of speech interfaces for controlling household electronic devices. The database comprises speec...
Fernando F. Fernández-Martínez, Juan...
85
Voted
JMM2
2007
122views more  JMM2 2007»
14 years 10 months ago
Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
Justin Muncaster, Yunqian Ma