Wavelet Analysis and the Neural Network of Particle Swarm Optimization for Speech Endpoints Detection

In order to improve the adaptability and robustness of speech endpoint detection,this paper proposes a speech endpoint detection method base on WA-PSO-BP. Firstly, the feature of speech signals are extracted by wavelet analysis;then the features are input to BP neural network to build the speech endpoints detection model in which the BP neural network's parameters are optimized by particle swarm optimization algorithm.The experiments results show that the proposed method has improved the detection rate, and it has better adaptability and robustness.WA-PSO-BP has high reliability makes it suitable for application in different kinds of environments.