Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2011-08-16
2011-08-16
Wozniak, James S. (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
Reexamination Certificate
active
08000964
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.
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Chai Shen-Yen
Hsieh Chia-Hsin
Hsu Chin-Shun
Huang Chien-Lin
Lee Kuei-Ming
He Jialong
Institute for Information Industry
Morris Manning & Martin LLP
Tingkang Xia Tim
Wozniak James S.
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