An N-gram Based Chinese Syllable Evaluation Approach for Speech Recognition Error Detection
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.
Speech Recognition Chinese Syllable N-gram Error Detection
Xingjian WANG Lei LI
Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
国际会议
大连
英文
1-6
2009-09-24（万方平台首次上网日期，不代表论文的发表时间）