|
|
|
| Identification Method Based on Sound Wave of Teeth Collision |
| ZHU Bing-Cheng,WU Le-Nan,WANG Wei |
| School of Information Science and Engineering,Southeast University,Nanjing 210096 |
|
|
|
|
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.
|
|
Received: 15 November 2011
|
|
|
|
|
|
[1] Fang Yichun,Wang Zhan.Your New Key: A Concept Introduction to Biometrics. Chinese Journal of Nature,2007,29(4): 219-224(in Chinese)(方昱春,王 展.Your New Key:生物特征识别技术.自然杂志,2007,29(4): 219-224)
[2] Jain A K,Lis Z. Handbook of Face Recognition. New York,USA: Springer-Verlag,2005
[3] Nomir O,Abdel-Mottaleb M. Human Identification from Dental X-Ray Images Based on the Shape and Appearance of the Teeth. IEEE Trans on Information Forensics and Security,2007,2(2): 188-197
[4] Mei Xiaodan,Sun Shenghe. New Noisy Speech Segmentation Algorithm Based on Wavelet Transform. Journal of Harbin Institute of Technology,2002,34(3): 408-411(in Chinese)
(梅晓丹,孙圣和.基于小波变换的静音与语音分割新算法.哈尔滨工业大学学报,2002,34(3): 408-411)
[5] Hossan M A,Memon S,Gregory M A. A Novel Approach for MFCC Feature Extraction // Proc of the 4th International Conference on Signal Processing and Communication Systems. Gold Coast,Australia,2010: 1-5
[6] Guo Wu,Dai Lirong,Wang Renhua. Speaker Verification Based on Factor Analysis and SVM. Journal of Electronics Information Technology,2009,31(2): 302-305(in Chinese)
(郭 武,戴礼荣,王仁华.采用因子分析和支持向量机的说话人确认系统.电子与信息学报,2009,31(2): 302-305)
[7] Dan Zhiping,Zheng Sheng,Sun Shuifa,et al. Speaker Recognition Based on LS-SVM // Proc of the 3rd International Conference on Innovative Computing Information and Control. Dalian,China,2008: 525-528
[8] Sun Hanwu. An Efficient Feature Selection Method for Speaker Recognition // Proc of the 6th International Symposium on Chinese Spoken Language Processing. Kunming,China,2008: 1-4
[9] Li Shaomei,Guo Yunfei,Wei Hongquan.Speaker Recognition via Statistics of Acoustic Feature Distribution // Proc of the 1st International Conference on Multimedia Information Networking and Security. Wuhan,China,2009: 190-192
[10] Zamalloa M,Bordel G,Rodriguez L J,et al. Feature Selection Based on Genetic Algorithms for Speaker Recognition // Proc of the Workshop on Speaker and Language Recognition. San Juan,USA,2006: 1-8
[11] Guo Hua. The Designing and Implementing of a Neural Network Based Speaker Recognition System. Master Dissertation. Shanghai,China: Shanghai Jiaotong University,2008 (in Chinese)
(郭 华.基于神经网络的声纹识别系统设计与实现.硕士学位论文.上海:上海交通大学,2008)
[12] Chen Qiang. Research and Implementation on Speaker Recognition System Based on GMM. Master Dissertation.Wuhan,China: Wuhan University of Technology,2010 (in Chinese)
(陈 强.基于GMM的说话人识别系统研究与实现.硕士学位论文.武汉:武汉理工大学,2010) |
|
|
|
2013, Vol. 26 
