Abstract 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.
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2013, Vol. 26 
