The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 16, 2011
Filed:
Feb. 21, 2008
Jui-tang Lin, Tainan County, TW;
Chin-shun Hsu, Kaohsiung, TW;
Shen-yen Chai, Tainan, TW;
Chung-hsien Wu, Tainan, TW;
Kuei-ming Lee, Changhua County, TW;
Chia-hsin Hsieh, Tainan, TW;
Chien-lin Huang, Kaohsiung, TW;
Jui-Tang Lin, Tainan County, TW;
Chin-Shun Hsu, Kaohsiung, TW;
Shen-Yen Chai, Tainan, TW;
Chung-Hsien Wu, Tainan, TW;
Kuei-Ming Lee, Changhua County, TW;
Chia-Hsin Hsieh, Tainan, TW;
Chien-Lin Huang, Kaohsiung, TW;
Institute for Information Industry, Taipei, TW;
Abstract
A method of constructing a model of recognizing English pronunciation variations is used to recognize English pronunciations with different intonations influenced by non-English native languages. The method includes collecting a plurality of sound information corresponding to English expressions; corresponding phonetic alphabets of the non-English native language and English of a region to International Phonetic Alphabets (IPAs), so as to form a plurality of pronunciation models; converting the sound information with the pronunciation models to form a pronunciation variation network of the corresponding English expressions, thereby detecting whether the English expressions have pronunciation variation paths; and finally summarizing the pronunciation variation paths to form a plurality of pronunciation variation rules. Furthermore, the pronunciation variations are represented by phonetics features to infer possible pronunciation variation rules, which are stored to form pronunciation variation models. The construction of the pronunciation variation models enhances applicability of an English recognition system and accuracy of voice recognition.