1 citations · 2 across the 17 of their papers we have counts for
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Quantum-Inspired Audio Unlearning: Towards Privacy-Preserving Voice Biometrics
Shreyansh Pathak, Sonu Shreshtha, Richa Singh +1
The widespread adoption of voice-enabled authentication and audio biometric systems have significantly increased privacy vulnerabilities associated with sensitive speech data. Comp…
Multimodal Zero-Shot Framework for Deepfake Hate Speech Detection in Low-Resource Languages
Rishabh Ranjan, Likhith Ayinala, Mayank Vatsa +1
This paper introduces a novel multimodal framework for hate speech detection in deepfake audio, excelling even in zero-shot scenarios. Unlike previous approaches, our method uses c…
SynHate: Detecting Hate Speech in Synthetic Deepfake Audio
Rishabh Ranjan, Kishan Pipariya, Mayank Vatsa +1
The rise of deepfake audio and hate speech, powered by advanced text-to-speech, threatens online safety. We present SynHate, the first multilingual dataset for detecting hate speec…
Can Quantized Audio Language Models Perform Zero-Shot Spoofing Detection?
Bikash Dutta, Rishabh Ranjan, Shyam Sathvik +2
Quantization is essential for deploying large audio language models (LALMs) efficiently in resource-constrained environments. However, its impact on complex tasks, such as zero-sho…