262 citations · 1.1k across the 80 of their papers we have counts for
11 papers · 1 filter
Human perception of audio deepfakes: the role of language and speaking style
Eugenia San Segundo, Aurora López-Jareño, Xin Wang +1
Audio deepfakes have reached a level of realism that makes it increasingly difficult to distinguish between human and artificial voices, which poses risks such as identity theft or…
FakeMark: Deepfake Speech Attribution With Watermarked Artifacts
Wanying Ge, Xin Wang, Junichi Yamagishi
Deepfake speech attribution remains challenging for existing solutions. Classifier-based solutions often fail to generalize to domain-shifted samples, and watermarking-based soluti…
Towards Data Drift Monitoring for Speech Deepfake Detection in the context of MLOps
Xin Wang, Wanying Ge, Junichi Yamagishi
When being delivered in applications or services on the cloud, static speech deepfake detectors that are not updated will become vulnerable to newly created speech deepfake attacks…
Can External Sources Help the Knowledge Cut-off Issues in Audio Deepfake Detection?
Xuechen Liu, Xin Wang, Junichi Yamagishi +1
In conventional deepfake audio detection pipelines, inference and evaluation are typically conducted using standalone, parameterized models trained exclusively on a fixed dataset.…
LENS-DF: Deepfake Detection and Temporal Localization for Long-Form Noisy Speech
Xuechen Liu, Wanying Ge, Xin Wang +1
This study introduces LENS-DF, a novel and comprehensive recipe for training and evaluating audio deepfake detection and temporal localization under complicated and realistic audio…
MIDI-VALLE: Improving Expressive Piano Performance Synthesis Through Neural Codec Language Modelling
Jingjing Tang, Xin Wang, Zhe Zhang +3
Generating expressive audio performances from music scores requires models to capture both instrument acoustics and human interpretation. Traditional music performance synthesis pi…