ANR BRUEL Project

Development of a methodology for evaluating voice identification systems

The BRUEL project concerns the evaluation/certification of voice identification systems against adversarial attacks.

Indeed, speaker recognition systems are vulnerable not only to speech artificially produced by voice synthesis but also to other forms of attacks such as voice identity conversion and replay attacks. The artifacts created during the creation or manipulation of these fraudulent attacks leave marks in the signal by voice synthesis algorithms, thus distinguishing the original real voice from a forged voice.

Under these conditions, detecting identity theft requires evaluating identity theft countermeasures concurrently with speaker recognition systems. The BRUEL project aims to propose the first methodology for evaluating/certifying voice identification systems based on a Common Criteria approach.

List of partners:

Project Coordinator: LIA

Scientific Manager for LIA: Driss Matrouf

Start Date: 01/01/2023 End Date: 30/06/2026

More