Automatic Speech Verification Spoofing Detection
This paper tackles the security problem for users of automatic speech verification systems, which is an incremental improvement on existing methods.
This paper addresses the problem of spoofing attacks on automatic speech verification (ASV) systems. It aims to develop robust and efficient countermeasures, evaluated using EER and t-DCF metrics.
Automatic speech verification (ASV) is the technology to determine the identity of a person based on their voice. While being convenient for identity verification, we should aim for the highest system security standard given that it is the safeguard of valuable digital assets. Bearing this in mind, we follow the setup in ASVSpoof 2019 competition to develop potential countermeasures that are robust and efficient. Two metrics, EER and t-DCF, will be used for system evaluation.