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12

CSL
2007
Springer

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Articulatory feature recognition using dynamic Bayesian networks

13 years 4 months ago

Articulatory feature recognition using dynamic Bayesian networks

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This paper describes the use of dynamic Bayesian networks for the task of articulatory feature recognition. We show that by modeling the dependencies between a set of 6 multi-leveled articulatory features, recognition accuracy is increased over an equivalent system in which features are considered independent. Results are compared to those found using artiﬁcial neural networks on an identical task.

Joe Frankel, Mirjam Wester, Simon King

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Added	13 Dec 2010
Updated	13 Dec 2010
Type	Journal
Year	2007
Where	CSL
Authors	Joe Frankel, Mirjam Wester, Simon King

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