Document Type
Thesis - University Access Only
Award Date
2001
Degree Name
Master of Science (MS)
Department / School
Computer Science
Abstract
In this thesis, I suggest a way of using voice to make up for the weak points in current security systems and downsize the load of users by affording natural and convenient speaker verification. This thesis contains the basic technology to build a practical speaker verification system using neural networks and research for implementing the system, which guarantees reliability. Firstly, this thesis will focus on making up for the weak points in current existing methods by applying the characteristics of neural networks like learning ability, parallel processing ability and adaptability. And this thesis will advance to characteristic presentation and extracting method, technique of dividing voice signal, research on new neural network model to solve speaker verification problem, adaptability for changing environment such as DTW using kernel-based PCA, spectral subtraction. To make improvements in system performance and adaptability, we study a recognition model using a module structured neural network and evaluate its appropriateness and usefulness experimentally by implementing a prototype.
Library of Congress Subject Headings
Automatic speech recognition Neural networks (Computer science) Electronic funds transfers -- Security measures
Format
application/pdf
Number of Pages
63
Publisher
South Dakota State University
Recommended Citation
Byun, Su Jeong, "User Verification System on Telebanking Using Kernel Based PCA" (2001). Electronic Theses and Dissertations. 793.
https://openprairie.sdstate.edu/etd2/793