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Accessing language specific linguistic information for triphone model generation: feature tables in a speech recognition system

Kanokphara S., Geumann A., Carson-Berndsen J.

Archives of Control Sciences

2005

Vol. 15, no. 3

321-328

This paper is concerned with a method for generating phonetic questions used in tree-based state tying for speech recognition. In order to implement a speech recognition system, languagedependent knowledge which goes beyond annotated material is usually required. The approach presented here generates phonetic questions for decision trees 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.