Audio Anti-Spoofing Detection: A Survey

M Li, Y Ahmadiadli, XP Zhang - arxiv preprint arxiv:2404.13914, 2024 - arxiv.org
The availability of smart devices leads to an exponential increase in multimedia content.
However, the rapid advancements in deep learning have given rise to sophisticated …

ptwt-The PyTorch Wavelet Toolbox

M Wolter, F Blanke, J Garcke, CT Hoyt - Journal of Machine Learning …, 2024 - jmlr.org
The fast wavelet transform is an essential workhorse in signal processing. Wavelets are
local in the spatial-or temporal-and the frequency-domain. This property enables frequency …

Single-Model Attribution for Spoofed Speech via Vocoder Fingerprints in an Open-World Setting

M Pizarro, M Laszkiewicz, D Kolossa… - arxiv preprint arxiv …, 2024 - arxiv.org
As speech generation technology advances, so do the potential threats of misusing spoofed
speech signals. One way to address these threats is by attributing the signals to their source …

Application of Machine Learning for the Detection of Audio Deep Fake

K Divya, G Chhabra, SA Tiwaskar… - 2024 Global …, 2024 - ieeexplore.ieee.org
Strong detection procedures are crucial for preserving digital safety and reliability in light of
the rapid development of deepfaketechnology, especially in the audio domain. Presenting a" …