As automatic speaker verification (ASV) technology becomes more and more reliable, banks and e-commerce use voice biometrics to enhance security and deliver a more convenient customer authentication. Just like any other biometrics, ASV is vulnerable to spoofing, also referred to as presentation attacks. Spoofing refers to an attack whereby a fraudster attempts to masquerade as another enrolled person. Modern technologies, such as speech synthesis and voice conversion, also present a genuine threat to ASV systems. Therefore, spoofing countermeasures, which aim to detect such attacks, are as important as speaker verification systems themselves in commercial deployments. In this talk, we will discuss speech liveness detection in the context of speaker verification. We will also discuss the vulnerability of speaker verification to speech synthesis and voice conversion, and the findings from ASVspoof 2015: the First Automatic Speaker Verification Spoofing and Countermeasures Challenge.
Cite as: Li, H. (2016) Voice conversion and spoofing countermeasures for speaker verification. Proc. The Speaker and Language Recognition Workshop (Odyssey 2016),
@inproceedings{li16_odyssey,
author={Haizhou Li},
title={{Voice conversion and spoofing countermeasures for speaker verification}},
year=2016,
booktitle={Proc. The Speaker and Language Recognition Workshop (Odyssey 2016)},
pages={}
}