Automatic Speech Verification Spoofing Detection
arXiv:2012.08095
Abstract
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.
References in corpus (3)
- ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks
- Replay attack detection with complementary high-resolution information using end-to-end DNN for the ASVspoof 2019 Challenge
- The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion