Research Of Endpoint Detection Algorithms Of Speech Based On Information Entropy And Neuron Network

Speech endpoint detection is an important step in the field of speech analysis,speech synthesis and speech recognition. In the application,the system usually need to find out the beginning and ending point of the speech. So we can collect the true speech data, cut down the amount of data and calculating as well as the time of operating. Therefore, the research on endpoint detection algorithms of speech is significant.The article introduced several typical algorithms of endpoint detection of speech and studied three algorithms of endpoint detection of speech.Algorithm one: on the basis of comprehension on information entropy,the article analyzed the difference of speech signal and background signal, studied the endpoint detection algorithm of speech based on the amplitude entropy and spectral entropy. The simulating experiments show that the method have a good accuracy and is easy to realize. Algorithm two: Under the study of algorithm one and combining with neural network's superior characteristic in the field of pattern classification, the article put forward an endpoint detection algorithm of speech based on information-entropy and neural network. The algorithm build the model for speech signal and noise of background ,and then the problem of speech endpoint detection will become a classification problem on each frame of speech signal. After building the corresponding model, we can judge the signal to be speech signal or noise of background according to the matching degree to the model. The simulating experiments show that this algorithm not only have a better accuracy but also avoid the problem of setting up threshold. Algorithm three: Speech endpoint detection studies the starting point and ending point of speech, while the division of speech signal and noise of background is not absolute. The points on the border may be speech signals and also may be noise of background, and actually it is a fuzzy classification problem for border signal. Technology of fuzzy have a superior advantage in the field of dealing with the fuzzy border problems. Studied the Technology of fuzziflcation of speech and combined with the neuron network technology, the article put forward the speech endpoint algorithm based on the Fuzzy-Neuron-Network. The simulating experiments show that the algorithm have the best accuracy among the three algorithms, but it is still not perfect because of complex operation. At last,the article summarized the three algorithms and put forward some problems which need to be studied further and introduced some new studying directions and also pointed out the prospect of speech endpoint detecting.