PhD research on "Synthetic Speech Source Detection using Metric Learning"
Abstract: This study investigates synthetic speech source tracing by adapting speaker recognition methodologies. Experimental results demonstrate that a ResNet-based, metric-learning pipeline achieves performance competitive with, and at times superior to, self-supervised learning systems. These findings underscore the efficacy of ResNet architectures for audio forensic analysis of manipulated media.