42 citations · 91 across the 35 of their papers we have counts for
38 papers
Bridging the Age Gap: Towards Detecting Neural Audio Codec Synthesized Elderly Speech Deepfake
Orchid Chetia Phukan, Girish, Mohd Mujtaba Akhtar +1
In this study, we introduce the Elderly CodecFake Detection (ECFD) task and release the Elderly-CodecFake (ECF) dataset in English and Chinese. We show that state-of-the-art CF det…
Towards Detecting Neural Audio Codec Synthesized Heart Sounds
Girish, Orchid Chetia Phukan, Mohd Mujtaba Akhtar +3
In this paper, we introduce Synthetic Heart Sound Detection (SHAC), a task aimed at identifying phonocardiograms (PCGs) synthesized using neural audio codecs (NACs). To facilitate…
Bridging the SEA Gap: An Initial Benchmark for Neural Audio Codec-Synthesized Speech Deepfakes in South-East Asian Languages
Orchid Chetia Phukan, Girish, Mohd Mujtaba Akhtar +1
Codecfakes (CFs) are a type of speech deepfakes generated through Audio Language Models (ALMs), with Neural Audio Codecs (NACs) forming the core mechanism for speech encoding and g…
Impact Analysis of Speech Representation Learning Models for Acoustic Side-Channel Attack
Nitin Choudhury, Bikrant Bikram Pratap Maurya, Arun Balaji Budhuru +1
Acoustic side-channel attacks (ASCA) on keyboards have gained increasing attention, yet impact of speech representation learning models in ASCA remains unexplored. Addressing this,…
RoboKA: KAN Informed Multimodal Learning for RoboCall Surveillance System
Nitin Choudhury, Nikhil Kumar, Aditya Kumar Sinha +5
Wide exploration on robocall surveillance research is hindered due to limited access to public datasets, due to privacy concerns. In this work, we first curate Robo-SAr, a syntheti…
Indic-CodecFake meets SATYAM: Towards Detecting Neural Audio Codec Synthesized Speech Deepfakes in Indic Languages
Girish, Mohd Mujtaba Akhtar, Orchid Chetia Phukan +1
The rapid advancement of Audio Large Language Models (ALMs), driven by Neural Audio Codecs (NACs), has led to the emergence of highly realistic speech deepfakes, commonly referred…