中文摘要：

为了克服语音身份确认中语音分割、特征提取和鲁棒性差的困难，文中分析叩齿声音波形特性，提出一种利用叩齿声音进行身份确认的方法．使用二阶微分方程建立齿震动发声的近似模型，以此为基础提出基于叩齿声音信号的身份确认方法．实验结果表明，叩齿声音信号稳定性强，处理复杂度低于声纹信号，应用于身份识别性能优良．该方法和经典的支持向量机、最近邻算法相比，运算量低，所需训练样本少．

英文摘要：

An identification method based on sound wave of teeth collision is presented to overcome the problems in voiceprint identification, including speech segmentation, signal noise ratio （SNR） enhancement and feature extraction. Characteristic for sound wave of teeth collision is studied and a mathematic model derived from a second-order differential equation is proposed to describe the teeth vibration process. Based on the model, an identification algorithm is presented. Experimental results show that the sound wave of teeth collision works better in identification than voiceprint signal due to its stability and lower processing complexity. Besides, the presented algorithm reduces the amount of training samples and the computational complexity, compared with the support vector machine and the nearest neighbor algorithm.