4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.SD2026
What Affects the Performance of Fake Audio Detection? Analyzing Factors in a Continual Learning Setting
Yixuan Xiao, Ngoc Thang Vu
The increasing sophistication of deepfake audio generation technologies makes it important to develop robust fake audio detection systems that can adapt over time. This study exami…
cs.SD2026★ 4 cited
Layer-Wise Decision Fusion for Fake Audio Detection Using XLS-R
Yixuan Xiao, Ngoc Thang Vu
Recent fake audio detection methods often leverage large speech models to achieve robust speech representations. These models are typically very deep, providing multiple layer-wise…
cs.CL2021
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet
Siddhant Arora, Siddharth Dalmia, Pavel Denisov +10
As Automatic Speech Processing (ASR) systems are getting better, there is an increasing interest of using the ASR output to do downstream Natural Language Processing (NLP) tasks. H…