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 [BibTeX] [Marc21]
Exploiting Contextual Information for Improved Phoneme Recognition
Type of publication: Idiap-RR
Citation: pinto:rr07-65
Number: Idiap-RR-65-2007
Year: 2007
Institution: IDIAP
Abstract: In this paper, we investigate the significance of contextual information in a phoneme recognition system using the hidden Markov model - artificial neural network paradigm. Contextual information is probed at the feature level as well as at the output of the multilayerd perceptron. At the feature level, we analyse and compare different methods to model sub-phonemic classes. To exploit the contextual information at the output of the multilayered perceptron, we propose the hierarchical estimation of phoneme posterior probabilities. The best phoneme (excluding silence) recognition accuracy of 73.4\% on the TIMIT database is comparable to that of the state-of-the-art systems, but more emphasis is on analysis of the contextual information.
Userfields: ipdmembership={speech},
Projects Idiap
Authors Pinto, Joel Praveen
Yegnanarayana, B.
Hermansky, Hynek
Magimai.-Doss, Mathew
Crossref by pinto:icassp-phnrecog:2008
Added by: [UNK]
Total mark: 0
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