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CSL
2007
Springer

Articulatory feature recognition using dynamic Bayesian networks

8 years 12 months ago
Articulatory feature recognition using dynamic Bayesian networks
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
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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