Filip Sedlak

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Voice conversion – the methodology of automatically converting one's utterances to sound as if spoken by another speaker – presents a threat for applications relying on speaker verification. We study vulnerability of text-independent speaker verification systems against voice conversion attacks using telephone speech. We implemented a voice conversion(More)
We propose a person authentication system using eye movement signals. In security scenarios, eye-tracking has earlier been used for gaze-based password entry. A few authors have also used physical features of eye movement signals for authentication in a <i>task-dependent scenario</i> with matched training and test samples. We propose and implement a(More)
State-of-the-art speaker verification systems consists of a number of complementary subsystems whose outputs are fused, to arrive at more accurate and reliable verification decision. In speaker verification , fusion is typically implemented as a linear combination of the subsystem scores. Parameters of the linear model are commonly estimated using the(More)
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