The Design And Implementation Of Visually Impaired College Students Psychological Test System

At present, university students’ mental health condition is becoming an important factor in improving the quality of talents cultivation and computer system is being used widely in students’ mental health test, but visually impaired students’ mental health testing system has not appeared now. This thesis explores an information-based mental health testing system suitable for visually impaired students which will develop and improve our nation’s research on the mental health testing of visually impaired college students.This study aims to establish a computer-based mental health testing system for visually impaired college students employing Speech API Software Developers Kit (SAPI SDK) including documentation, example and libcurl With better integration of speech recognition technology into voice synthesis for the application.Voice application programming interface SAPI realized the bottom control and high adaptability of direct speech management, training the wizard, events, grammar compilation, resources, speech recognition and voice conversion management etc. Microsoft Speech SDK supplied COM call in the form of two interfaces:application programming interface (API) and device driver interface (DDI). Application program can communicate with SAPI by API and speech engine can interact with SAPI by DDI so as to realize user based application program of speech recognition and speech synthesis. Still we can use SAPI SDK to create speech recognition and voice synthesis engine for other programs.Testing program makes voice navigation prompt function come true, adopts numeric keypad and shortcut key and provide a new operation without the use of mouse to answer questions which is popular among visually impaired students. This is a good information-based mental health testing system suitable for visually impaired students which is hoped to advance visually impaired students’ mental education and research.