Study Of Identification For Chinese Whispered Speech Based On Probabilistic Neural Network

Whispered speech is a special way for communication. It is widely used in a lot of places which could not speak loudly, such as meeting-room, library, and so on. When the mobile phone becomes more and more popular, people often need to talk with it in public. In order to talk secretly, people use whispered speech sometimes. So the mobile phone should be recognizing the whispered speech. And if we can recognize the whispered speech sound by those who have problems with their throats, and try to convert it to normal speech, it'll be very helpful.But the recognition of whispered speech is much more difficult than normal speech because the S/N is much lower.In order to improve the rate of identification of the whispered speech, the main work is bellow:1. Based on the research of the acoustic characters of the Whispered speech, this thesis built two models of recognition system based on DTW and PNN.2 .Training models and algorithms are simulated by software. Training and testing database is established. Then real-time performance and accuracy of the system is tested and the main findings and conclusions are given. Finally, the further research and improvement direction of this subject are raised.