关键词: duffing随机共振, 说话人识别（SR）, 特征提取

Abstract: Speaker feature parameter extraction directly affects the establishment of recognition model. Parameter extraction methods of MFCC and LPC, respectively regard local low-frequency information and global AR signal as the main feature. In this paper, a method of speaker spectrum feature extraction based on duffing stochastic resonance is proposed. Simulation results show that this method, which provides a more elaborate recognition model for speaker recognition, can identify tiny differences of spectrum among speakers and extract basic characteristics of spectrum effectively.

Key words: duffing stochastic resonance, Speaker Recognition（SR）, feature parameter extraction