关键词: k均值聚类, 神经网络集成, 语音识别

Abstract: In this paper, a method of speech recognition based on k-means clustering and neural network ensemble is proposed. The method is based on neural network model. After a number of individual neural networks are trained, the k-means clustering algorithm is used to select a part of the trained individual networks’ weights and thresholds with small similarity. Many neural networks with the selected weights and thresholds are combined. The method not only overcomes the shortcomings that single BP neural network model is easy to local convergence and lack of stability, but also solves the problems that the traditional method in training lasts for a long time and the differences of individual network are not obvious. The experimental results prove the effectiveness of this method.

Key words: k-means clustering, neural network ensemble, speech recognition