TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Kanokphara, Supphanat
A1  - Geumann, Anja
A1  - Carson-Berndsen, Julie
ED  - Vetulani, Zygmunt
T1  - Accessing Language Specific Linguistic Information for Triphone Model Generation: Feature Tables in a Speech Recognition System
T2  - 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)
N2  - 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.
KW  - Automatische Spracherkennung
KW  - Automatische Lauterkennung
KW  - Englisch
KW  - Thailändisch
Y1  - 2005
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-57064
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-57064
UR  - http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.58.7693&rep=rep1&type=pdf
SN  - 83-7177-341-2
SB  - 83-7177-341-2
SP  - 7
EP  - 10
PB  - Wydawnictwo Poznańskie
CY  - Poznań
ER  -