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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© 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
Print ISBN: 978-3-540-34437-7
Online ISBN: 978-3-540-34438-4
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