Sharing to learn and learning to share; fitting together meta, multi-task, and transfer learning: A meta review

R Upadhyay, R Phlypo, R Saini, M Liwicki - IEEE Access, 2024‏ - ieeexplore.ieee.org
Integrating knowledge across different domains is an essential feature of human learning.
Learning paradigms such as transfer learning, meta-learning, and multi-task learning reflect …

ASSD: An AI-Synthesized Speech Detection Scheme Using Whisper Feature and Types Classification

C Liu, X Xu, F **ao - IEEE Transactions on Audio, Speech and …, 2025‏ - ieeexplore.ieee.org
Current efforts in AI-synthesized speech detection often suffer from decreased performance
due to detectors overfitting to irrelevant features or fitting features specific to certain …

[PDF][PDF] A Study of Guided Masking Data Augmentation for Deepfake Speech Detection

DT Truong, Y Wang, KA Lee, M Li, H Nishizaki… - Proc. ASVspoof …, 2024‏ - isca-archive.org
In response to advanced deepfake speech threats, notable research in Deepfake Speech
Detection (DSD) includes efforts like the ASVspoof Challenge, which benchmarks DSD …