An N-gram Based Chinese Syllable Evaluation Approach for Speech Recognition Error Detection

被引：0

作者：

Wang, Xingjian ^{[1
]}

Li, Lei ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Ctr Intelligence Sci & Technol, Beijing 100876, Peoples R China

来源：

IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING | 2009年

关键词：

Speech Recognition; Chinese Syllable; N-gram; Error Detection;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to find errors and correct words after Chinese speech recognition to improve its accuracy rate, an N-gram based phonetic syllable evaluation approach is proposed according to the conjunction rules in Chinese syllables. In this paper, Bigram and Trigram model are used with two kinds of smoothing methods for comparison. Evaluation results show that it can achieve a precision rate up to 72.44% for error detection, which can provide more reliable target for error correction.

引用

页码：224 / 229

页数：6

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