Abstract
In this research we present a new scheme for the generation of a biometric key based on Automatic Speech Technology and Support Vector Machines. Keys are produced by making a distinction among the voice attributes of the users employing hyperplanes. It is described how the key is conformed and the reliability of the method. We depict an experimental evaluation for different values of the parameters. Among the different kernels for the Support Vector Machine, the RBF obtained the best results.
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Keywords
- Support Vector Machine
- Radial Basis Function
- Support Vector Machine Model
- Automatic Speech Recognition
- Radial Basis Function Kernel
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© 2004 Springer-Verlag Berlin Heidelberg
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García-Perera, L.P., Mex-Perera, C., Nolazco-Flores, J.A. (2004). SVM Applied to the Generation of Biometric Speech Key. In: Sanfeliu, A., Martínez Trinidad, J.F., Carrasco Ochoa, J.A. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2004. Lecture Notes in Computer Science, vol 3287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30463-0_80
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DOI: https://doi.org/10.1007/978-3-540-30463-0_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23527-9
Online ISBN: 978-3-540-30463-0
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