Informatics Report Series
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Title:Articulatory feature recognition using dynamic Bayesian networks |
Authors:
Jolyon Frankel
; Simon King
; Mirjam Wester
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Date:Oct 2007 |
Publication Title:Computer Speech and Language |
Publisher:Elsevier |
Publication Type:Journal Article
Publication Status:Published
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Volume No:21(4)
Page Nos:620-640
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DOI:10.1016/j.csl.2007.03.002
ISBN/ISSN:0885-2308
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- Abstract:
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We describe a dynamic Bayesian network for articulatory feature recognition. The model is intended to be a component of a speech recognizer that avoids the problems of conventional ``beads-on-a-string'' phoneme-based models. We demonstrate that the model gives superior recognition of articulatory features from the speech signal compared with a state-of-the art neural network system. We also introduce a training algorithm that offers two major advances: it does not require time-aligned feature labels and it allows the model to learn a set of asynchronous feature changes in a data-driven manner.
- Copyright:
- 2007 by The University of Edinburgh. All Rights Reserved
- Links To Paper
- No links available
- Bibtex format
- @Article{EDI-INF-RR-1039,
- author = {
Jolyon Frankel
and Simon King
and Mirjam Wester
},
- title = {Articulatory feature recognition using dynamic Bayesian networks},
- journal = {Computer Speech and Language},
- publisher = {Elsevier},
- year = 2007,
- month = {Oct},
- volume = {21(4)},
- pages = {620-640},
- doi = {10.1016/j.csl.2007.03.002},
- }
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