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.

Abstract: A system and pupil position acquisition method and a device containing computer software for executing the same are provided. The system includes a shooting module, a scanning module, a signal transformation module, and a signal analysis module. The shooting module shoots an eyeball image using an image shooting device, such as a charge-coupled device (CCD) camera. The scanning module scans the eyeball image to acquire an eyeball signal. The signal transformation module performs a wavelet transform on the eyeball signal. The signal analysis module analyzes the eyeball signal after the wavelet transform to acquire a signal interval, and analyzes and acquires a position of a pupil with respect to the eyeball image according to the signal interval.

Abstract: A system and pupil position acquisition method and a device containing computer software for executing the same are provided. The system includes a shooting module, a scanning module, a signal transformation module, and a signal analysis module. The shooting module shoots an eyeball image using an image shooting device, such as a charge-coupled device (CCD) camera. The scanning module scans the eyeball image to acquire an eyeball signal. The signal transformation module performs a wavelet transform on the eyeball signal. The signal analysis module analyzes the eyeball signal after the wavelet transform to acquire a signal interval, and analyzes and acquires a position of a pupil with respect to the eyeball image according to the signal interval.

Abstract: A method of constructing a model of recognizing English pronunciation variations is used to recognize English pronunciations with different intonations influenced by native languages. The method includes collecting a plurality of sound information corresponding to English expressions; corresponding phonetic alphabets of the 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.