3 papers
eess.AS2026
Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech
Mohd Mujtaba Akhtar, Girish, Farhan Sheth +1
We propose a unified framework for not only attributing synthetic speech to its source but also for detecting speech generated by synthesizers that were not encountered during trai…
eess.AS2025
Curved Worlds, Clear Boundaries: Generalizing Speech Deepfake Detection using Hyperbolic and Spherical Geometry Spaces
Farhan Sheth, Girish, Mohd Mujtaba Akhtar +1
In this work, we address the challenge of generalizable audio deepfake detection (ADD) across diverse speech synthesis paradigms-including conventional text-to-speech (TTS) systems…
eess.AS2025
Towards Attribution of Generators and Emotional Manipulation in Cross-Lingual Synthetic Speech using Geometric Learning
Girish, Mohd Mujtaba Akhtar, Farhan Sheth +1
In this work, we address the problem of finegrained traceback of emotional and manipulation characteristics from synthetically manipulated speech. We hypothesize that combining sem…