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Modelling Pronunciation in Discourse Context
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.
2006 (English)In: Lund University, Centre for Languages and Literature, General Linguistics, Phonetics, Working Papers, 52. 2006, Proceedings from Fonetik 2006, Lund, June 7–9, 2006 / [ed] Gilbert Ambrazaitis and Susanne Schötz, Lund, Sweden, 2006, 69-72 p.Conference paper (Other academic)
Abstract [en]

This paper describes a method for modelling phone-level pronunciation in discourse context.Spoken language is annotated with linguistic and related information in several layers. Theannotation serves as a description of the discourse context and is used as training data fordecision tree model induction. In a cross validation experiment, the decision tree pronunciationmodels are shown to produce a phone error rate of 8.1% when trained on all availabledata. This is an improvement by 60.2% compared to using a phoneme string compiled fromlexicon transcriptions for estimating phone-level pronunciation and an improvement by42.6% compared to using decision tree models trained on phoneme layer attributes only.

Place, publisher, year, edition, pages
Lund, Sweden, 2006. 69-72 p.
National Category
Computer Science Language Technology (Computational Linguistics)
URN: urn:nbn:se:kth:diva-51894OAI: diva2:465188
Fonetik 2006, Lund, Sweden, June 7–9, 2006
tmh_import_11_12_14. QC 20120118Available from: 2011-12-14 Created: 2011-12-14 Last updated: 2012-01-18Bibliographically approved

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Jande, Per-Anders
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