Fooling Voice authentication systems overview1

Bhusan Chettri20 Jun, 2022Computer & Internet

Today?s ASV system trained on big-data and complex deep learning algorithms has shown superior performance on many benchmark datasets. They have demonstrated capability of recognising a person even using a small fragment of speech utterance. However, recent research has shown that they are not 100% secure. They are prone to fraudulent access launched through so called voice spoofing attacks. An attacker with malicious intention attempts to launch spoofing attacks using either pre-recorded voice of a target speaker (Replay attack), or generating synthetic voices using technologies such as Text-to-Speech (TTS) synthesis, Voice conversion (VC). They can also launch such spoofing attacks using impersonation or mimicry and for this to succeed the attacker must be a professional in performing the act of mimicry.