Feature Extraction for Spoofing Detection in Automatic Speaker Verification Systems, M.Sc. Thesis Sharif University of Technology ; Sameti, Hossein (Supervisor)
Abstract
Automatic speaker verification systems are becoming increasingly epidemic by the development of technology. The use of these systems in applications such as smart phones is becoming increasingly popular as a user password, and the security of these systems against spoofing attacks has always been a concern. In this research, the purpose is to comprehensively investigate all types of possible spoofing attacks on speaker verification systems and then provide a countermeasure system against such attacks. The countermeasure system presented in this report, extracts features from speech signals that can make the difference between the genuine and spoofed speech spectrum more prominent by...
Cataloging briefFeature Extraction for Spoofing Detection in Automatic Speaker Verification Systems, M.Sc. Thesis Sharif University of Technology ; Sameti, Hossein (Supervisor)
Abstract
Automatic speaker verification systems are becoming increasingly epidemic by the development of technology. The use of these systems in applications such as smart phones is becoming increasingly popular as a user password, and the security of these systems against spoofing attacks has always been a concern. In this research, the purpose is to comprehensively investigate all types of possible spoofing attacks on speaker verification systems and then provide a countermeasure system against such attacks. The countermeasure system presented in this report, extracts features from speech signals that can make the difference between the genuine and spoofed speech spectrum more prominent by...
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