Audio Anti-Spoofing Detection: A Survey
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 …
However, the rapid advancements in deep learning have given rise to sophisticated …
ptwt-The PyTorch Wavelet Toolbox
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 …
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
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 …
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" …
the rapid development of deepfaketechnology, especially in the audio domain. Presenting a" …