关键词: 方言辨识, 语音特征, 动态时间规整, 神经网络

Abstract: The research of Chinese dialect identification is not only conducive to improving the efficiency of dialect speech recognition system，but also important in the criminal investigation department for public security.Hunan dialects have been selected as a research object in this paper.The difference of characteristics between various dialects and how to choose appropriate parameter have been studied thoroughly.Because the speech signal has the very strong randomicity and the input structure of neural network is firm relatively，the dialects identification technology based on a mixed cascade neural networks of time alignment network and BP neural network is proposed.The experimental results show that for the different dialects and different tone，the identification rate is not the same when the same characteristic parameter is chosen.

Key words: dialects identification, speech characteristics, Dynamic Time Warping（DTW）, neural network