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Accessing Language Specific Linguistic Information for Triphone Model Generation: Feature Tables in a Speech Recognition System

  • This paper is concerned with a novel methodology for generating phonetic questions used in tree-based state tying for speech recognition. In order to implement a speech recognition system, language-dependent knowledge which goes beyond annotated material is usually required. The approach presented here generates phonetic questions for decision trees are based on a feature table that summarizes the articulatory characteristics of each sound. On the one hand, this method allows better language-specific triphone models to be defined given only a feature-table as linguistic input. On the other hand, the feature-table approach facilitates efficient definition of triphone models for other languages since again only a feature table for this language is required. The approach is exemplified with speech recognition systems for English and Thai.

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Metadaten
Author:Supphanat Kanokphara, Anja Geumann, Julie Carson-Berndsen
URN:urn:nbn:de:bsz:mh39-57064
URL:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.58.7693&rep=rep1&type=pdf
ISBN:83-7177-341-2
Parent Title (English):Proceedings of the 2nd Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, April 21-23, Poznań, Poland (L&TC'05)
Publisher:Wydawnictwo Poznańskie
Place of publication:Poznań
Editor:Zygmunt Vetulani
Document Type:Conference Proceeding
Language:English
Year of first Publication:2005
Date of Publication (online):2016/12/13
Publicationstate:Postprint
GND Keyword:Automatische Lauterkennung; Automatische Spracherkennung; Englisch; Thailändisch
First Page:7
Last Page:10
Dewey Decimal Classification:400 Sprache / 400 Sprache, Linguistik
BDSL-Classification:Sprache im 20. Jahrhundert. Gegenwartssprache
Open Access?:Ja
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung 3.0 Deutschland