Gabriel Pîrlogeanu

UNDERSTANDING THE STRENGTHS AND WEAKNESSES OF SSL MODELS FOR AUDIO DEEPFAKE MODEL ATTRIBUTION

Audio deepfake model attribution aims to mitigate the misuse of synthetic speech by identifying the source model responsible for generating a given audio sample, enabling accountability and informing vendors. The task is challenging, but self-supervised learning (SSL)-derived acoustic features have…