An N-gram based Chinese syllable evaluation approach for speech recognition error detection

Author

Wang, Xingjian ; Li, Lei

Author_Institution

Center for Intell. Sci. & Technol., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2009

fDate

24-27 Sept. 2009

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

error correction; error detection; smoothing methods; speech recognition; Chinese speech recognition error detection; Chinese syllable evaluation; N-gram based phonetic syllable evaluation; bigram model; error correction; smoothing method; trigram model; Acoustic testing; Databases; Engines; Error correction; Hidden Markov models; Large-scale systems; Libraries; Smoothing methods; Speech analysis; Speech recognition; Chinese; Error Detection; N-gram; Recognition; Speech; Syllable;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-4538-7

Electronic_ISBN

978-1-4244-4540-0

Type

conf

DOI

10.1109/NLPKE.2009.5313747

Filename

5313747