Unsupervised pronunciation grammar generation for non-native speech recognition

被引：0

作者：

Huang, Chien-Lin ^{[1
]}

Wu, Chung-Hsien ^{[1
]}

Chen, Yi ^{[1
]}

Hsu, Chin-Shun ^{[2
]}

Lee, Kuei-Ming ^{[2
]}

机构：

[1] Natl Cheng Kung Univ, Dept Comp Sci & Informat Engn, Tainan 70101, Taiwan

[2] Inst Informat Ind, Tainan, Taiwan

来源：

TENCON 2007 - 2007 IEEE REGION 10 CONFERENCE, VOLS 1-3 | 2007年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study presents a novel approach to unsupervised pronunciation grammar generation for non-native speech recognition. Unsupervised pronunciation grammar generation includes pronunciation variation graph construction, stochastic Markov search and grammar selection. Context-dependent relation and phone broad class information are used for variation graph construction. Confidence measure and co-occurrence frequency are used to select the variants of pronunciation grammar for non-native speech modeling. Experiments show that unsupervised pronunciation grammar generation is suitable for the improvement of non-native speech recognition.

引用

页码：452 / +

页数：2

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