Entering tone recognition with hybrid method

Author

Liu, Ying ; Wang, Xiangcheng

Author_Institution

Dept. of Chinese Language & Literature, Tsinghua Univ., Beijing, China

fYear

2010

Firstpage

362

Lastpage

366

Abstract

Entering-tones are the tones which corresponding Chinese characters are ancient entering-tone characters. The entering tones are recognized using hybrid method which combines rule-based method with statistical method. The syllable which may possibly be an entering-tone or a non-entering tone is called ambiguity syllable. The non-ambiguity syllables can be recognized using rule-based method. The ambiguity syllables could be disambiguated with statistical method and the statistical model is maximum entropy model. The recognition accuracy using rules is 64.46%, the recognition accuracy using maximum entropy model is 91.61%, and the accuracy using hybrid method is 97.02%.

Keywords

knowledge based systems; maximum entropy methods; speech recognition; statistical analysis; ambiguity syllable; entering tone recognition; entering-tone characters; hybrid method; maximum entropy model; rule-based method; statistical method; Accuracy; Character recognition; Context; Entropy; Mathematical model; Statistical analysis; Training; Entering Tone Recognition; Maximum Entropy Model; Rule;

fLanguage

English

Publisher

ieee

Conference_Titel

Universal Communication Symposium (IUCS), 2010 4th International

Conference_Location

Beijing

Print_ISBN

978-1-4244-7821-7

Type

conf

DOI

10.1109/IUCS.2010.5666247

Filename

5666247