5 citations · 7 across the 7 of their papers we have counts for
7 papers
Enhancing Spoofing Speech Detection Using Rhythm Information
Jingze Lu, Yuxiang Zhang, Wenchao Wang +2
Current spoofing speech detection systems need more convincing evidence. In this paper, the flaws of rhythm information inherent in the TTS-generated speech are analyzed to increas…
Synthetic Speech Detection Based on Temporal Consistency and Distribution of Speaker Features
Yuxiang Zhang, Zhuo Li, Jingze Lu +2
Current synthetic speech detection (SSD) methods perform well on certain datasets but still face issues of robustness and interpretability. A possible reason is that these methods…
The Impact of Silence on Speech Anti-Spoofing
Yuxiang Zhang, Zhuo Li, Jingze Lu +3
The current speech anti-spoofing countermeasures (CMs) show excellent performance on specific datasets. However, removing the silence of test speech through Voice Activity Detectio…
One-Class Knowledge Distillation for Spoofing Speech Detection
Jingze Lu, Yuxiang Zhang, Wenchao Wang +2
The detection of spoofing speech generated by unseen algorithms remains an unresolved challenge. One reason for the lack of generalization ability is traditional detecting systems…
Improving Short Utterance Anti-Spoofing with AASIST2
Yuxiang Zhang, Jingze Lu, Zengqiang Shang +2
The wav2vec 2.0 and integrated spectro-temporal graph attention network (AASIST) based countermeasure achieves great performance in speech anti-spoofing. However, current spoof spe…
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification
Zhuo Li, Jingze Lu, Zhenduo Zhao +2
Utilizing the large-scale unlabeled data from the target domain via pseudo-label clustering algorithms is an important approach for addressing domain adaptation problems in speaker…
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion
Yuxiang Zhang, Jingze Lu, Xingming Wang +5
This paper describes the deepfake audio detection system submitted to the Audio Deep Synthesis Detection (ADD) Challenge Track 3.2 and gives an analysis of score fusion. The propos…