医疗语音分析处理系统的研究与实现/Research and Implementation of a Medical Speech Analyzing and P
Medical speech analyzing and processing system is a system that is used in clinic application, and aimed at auxiliary diagnosing voice disease. It combined many technologies and information, and belongs to intersecting research field of informatics and physics. Modern medical treatment imperiously needs automatization, science and impersonality of voice diagnosing, especially the computer realization of voice diagnosing which is an important research direction in the development of modern medical treatment system. Since the technologies used in existing medical speech analyzing and processing system are old, and special speech analyzing devices are expensive, it is a great challenge to make voice diagnosing systems with high reliability, high efficiency and high practicability by using the exiting computer devices in hospital and new scientific technologies.
This thesis designed and implemented a new high efficient medical speech analyzing and processing system to diagnose voice diseases. On the basis of combing the practical conditions of hospital, the whole system structure and function modules of medical speech analyzing and processing system are put forwarded. Then some research has been down in the medical knowledge and parameters in speech analyzing and processing such as Jitter, Shimmer, HNR and NNE, and some basic technologies in the process of transferring acoustic signals into computer signals are discussed and analyzed, such as A/D Conversion, and the WAVE file format. Whereafter deep research is done on some important technologies in speech analyzing and processing, the advanced wavelet transforms technology is used to pick-up pitch which is an important medical parameter of voice, and detailed analysis is done in spectrogram which is a traditional medical auxiliary diagnosing method. Finally on the basis of these researches, detailed implementation steps and results are presented.
The medical speech processing system implemented in this thesis has the advantage of convenience, practicability and accuracy. It has fabulous application trend.