Talk · IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering · January 1, 2020
Voice Antispoofing System Vulnerabilities Research
Aleksandr Sinitca, Nikita V. Efimchik, Evgeniy D. Shalugin, Vladimir A. Toropov, Konstantin Simonchik
Abstract
Recently, the problem of protecting information systems from various types of spoofing is gaining relevance. The article presents a study of the voice anti-spoofing system for the search for vulnerabilities to text-to-speech attack. As part of the study, a new test dataset was created for the voice anti-spoofing system, which includes about 150,000 audio from more than 15,000 phrases in 25 languages by 8 TTS engines. The study showed uneven recognition quality depending on the voice of the text-to-speech converter and vulnerability to signal noise, which indicates the features of the detector. The results will allow improving the quality of detection of text-to-speech converters.
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