40 citations · 61 across the 34 of their papers we have counts for
5 papers · 1 filter
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…
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects
Rishabh Ranjan, Mayank Vatsa, Richa Singh
Audio has become an increasingly crucial biometric modality due to its ability to provide an intuitive way for humans to interact with machines. It is currently being used for a ra…