Abstract
We studied the application of Biomimetic Pattern Recognition to speaker recognition. A speaker recognition neural network using network matching degree as criterion is proposed. It has been used in the system of text-dependent speaker recognition. Experimental results show that good effect could be obtained even with lesser samples. Furthermore, the misrecognition caused by untrained speakers occurring in testing could be controlled effectively. In addition, the basic idea “cognition” of Biomimetic Pattern Recognition results in no requirement of retraining the old system for enrolling new speakers.
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References
Campbell, J.P.: Speaker Recognition: A Tutorial. Proceedings of the IEEE 85(9), 1437–1462 (1997)
Farrel, K.R., Mammone, R.J., Assaleh, K.T.: Speaker Recognition Using Neural Networks and Conventional Classifiers. IEEE Transactions on Speech and Audio Processing 2(1), 194–205 (1994)
Oglesby, J., Mason, J.S.: Radial Basis Function Networks for Speaker Recognition. In: Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 1, pp. 393–396 (1991)
Finan, R.A., Sapeluk, A.T., Damper, R.I.: Comparison of Multilayer and Radial Basis Function Neural Networks for Text-Dependent Speaker Recognition. In: IEEE International Conference on Neural Networks - Conference Proceedings, vol. 4, pp. 1992–1997 (1996)
Wang, S.: Bionic (topological) Pattern Recognition - A New Model of Pattern Recog-nition Theory and Its Applications (in Chinese). Acta Electronica Sinica 30(10), 1417–1420 (2002)
Qin, H., Wang, S.: Comparison of Biomimetic Pattern Recognition, HMM and DTW for Speaker-Independent Speech Recognition (in Chinese). Acta Electronica Sinica 33(5), 957–960 (2005)
Vapnik, V.N.: The Nature of Statistic Learning Theory. Springer, Heidelberg (1995)
Wang, S., Wang, B.: Analysis and Theory of High-Dimension Space Geometry for Artificial Neural Networks (in Chinese). Acta Electronica Sinica 30(1), 1–4 (2002)
Wang, S., Li, Z., Chen, X., Wang, B.: Discussion on the Basic Mathematical Models of Neurons in General Purpose Neurocomputer (in Chinese). Acta Electronica Sinica 29(5), 577–580 (2001)
Wang, S., Zhao, X.: Biomimetic Pattern Recognition Theory and Its Applications. Chinese Journal of Electronics 13(3), 373–377 (2004)
Quatieri, T.F.: Discrete-Time Speech Signal Processing: Principles and Practice. Prentice Hall, Englewood Cliffs (2002)
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© 2006 Springer-Verlag Berlin Heidelberg
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Wang, S., Huang, Y., Cao, Y. (2006). Study on Text-Dependent Speaker Recognition Based on Biomimetic Pattern Recognition. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_24
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DOI: https://doi.org/10.1007/11760023_24
Publisher Name: Springer, Berlin, Heidelberg
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