Search Results for author: Jingze Lu

Found 7 papers, 0 papers with code

Synthetic Speech Detection Based on Temporal Consistency and Distribution of Speaker Features

no code implementations29 Sep 2023 Yuxiang Zhang, Zhuo Li, Jingze Lu, Wenchao Wang, Pengyuan Zhang

Based on these analyzes, an SSD method based on temporal consistency and distribution of speaker features is proposed.

Synthetic Speech Detection

The Impact of Silence on Speech Anti-Spoofing

no code implementations21 Sep 2023 Yuxiang Zhang, Zhuo Li, Jingze Lu, Hua Hua, Wenchao Wang, Pengyuan Zhang

First, the reasons for the impact are explored, including the proportion of silence duration and the content of silence.

Action Detection Activity Detection +1

Improving Short Utterance Anti-Spoofing with AASIST2

no code implementations15 Sep 2023 Yuxiang Zhang, Jingze Lu, Zengqiang Shang, Wenchao Wang, Pengyuan Zhang

The modified Res2Net blocks can extract multi-scale features and improve the detection performance for speech of different durations, thus improving the short utterance evaluation performance.

Graph Attention Speaker Verification

Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification

no code implementations22 May 2023 Zhuo Li, Jingze Lu, Zhenduo Zhao, Wenchao Wang, Pengyuan Zhang

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 verification tasks.

Clustering Domain Adaptation +4

Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion

no code implementations13 Oct 2022 Yuxiang Zhang, Jingze Lu, Xingming Wang, Zhuo Li, Runqiu Xiao, Wenchao Wang, Ming Li, Pengyuan Zhang

The overfitting of the model to the training set leads to extreme values of the scores and low correlation of the score distributions, which makes score fusion difficult.

Data Augmentation DeepFake Detection +1

Cannot find the paper you are looking for? You can Submit a new open access paper.