1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.SD2026
Emotion and Acoustics Should Agree: Cross-Level Inconsistency Analysis for Audio Deepfake Detection
Jinhua Zhang, Zhenqi Jia, Rui Liu
Audio Deepfake Detection (ADD) aims to detect spoof speech from bonafide speech. Most prior studies assume that stronger correlations within or across acoustic and emotional featur…
cs.SD2023★ 1 cited
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion
Rui Liu, Jinhua Zhang, Guanglai Gao +1
Audio Deepfake Detection (ADD) aims to detect the fake audio generated by text-to-speech (TTS), voice conversion (VC) and replay, etc., which is an emerging topic. Traditionally we…
stat.ML2023★ 1 cited
Twin support vector quantile regression
Yafen Ye, Zhihu Xu, Jinhua Zhang +2
We propose a twin support vector quantile regression (TSVQR) to capture the heterogeneous and asymmetric information in modern data. Using a quantile parameter, TSVQR effectively d…