The Diagnosis Treatment And Rehabilitation System Of Aphasia Based On Speech Recognition Technology

Aphasia rehabilitation treatment problems have received much attention. The methods of traditional aphasia diagnosis and rehabilitation are accomplished with the help of therapists. The diagnosis and treatment mainly depend on the subjective judgment of therapists, which is lack of an objective assessment of quantitative and qualitative indicators, especially in the area of speech training. As the fast development of computer and the technology mature in speech recognition, designing a set of system software that is intelligent, small size, and scalable for the aphasia diagnosis and rehabilitation treatment is becoming one of the important directions of aphasia rehabilitation.The main contents described in the dissertation are the diagnosis and rehabilitation treatment system of aphasia about analysis, design and implementation. It is focus on the aphasia speech evaluation system based on speech recognition technology and artificial neural network. The reasonable database is devised by analyzing the system's demands and the development approach of system is decided through the analysis of current software development language. At the end, the achievement of system that is designed by the author is showed in the ways of pictures and tables.The major research in the dissertation is summarized as follows:1) Proposed a new and reasonable scheme on the algorithm of the endpoint detection and segmentation between consonants and vowels based on the system's demands; 2) Studied hard on the aphasia speech evaluation system based on Hidden Markov Model (HMM) and BP neural network and the assessment of speech signal fluency and information; 3) Introduced a new idea of artificial intelligence and scheduling function in the designed system; 4) On the basis of those, constituted the diagnosis and rehabilitation treatment system of aphasia, and made the medical information subsystem, the diagnosis of aphasia subsystems, the rehabilitation subsystem and the training database subsystem come true .