1 citations · 1 across the 3 of their papers we have counts for
4 papers
Quantifying Source Speaker Leakage in One-to-One Voice Conversion
Scott Wellington, Xuechen Liu, Junichi Yamagishi
Using a multi-accented corpus of parallel utterances for use with commercial speech devices, we present a case study to show that it is possible to quantify a degree of confidence…
Exploring Active Data Selection Strategies for Continuous Training in Deepfake Detection
Yoshihiko Furuhashi, Junichi Yamagishi, Xin Wang +2
In deepfake detection, it is essential to maintain high performance by adjusting the parameters of the detector as new deepfake methods emerge. In this paper, we propose a method t…
Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
This paper investigates the effectiveness of self-supervised pre-trained vision transformers (ViTs) compared to supervised pre-trained ViTs and conventional neural networks (ConvNe…
How Close are Other Computer Vision Tasks to Deepfake Detection?
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
In this paper, we challenge the conventional belief that supervised ImageNet-trained models have strong generalizability and are suitable for use as feature extractors in deepfake…