most citedOne-Class Knowledge Distillation for Spoofing Speech Detection

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2023

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…

eess.AS2023

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…

eess.AS2023

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…

eess.AS20232 cited

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…

cs.SD20231 cited

PCF: ECAPA-TDNN with Progressive Channel Fusion for Speaker Verification

Zhenduo Zhao, Zhuo Li, Wenchao Wang +1

ECAPA-TDNN is currently the most popular TDNN-series model for speaker verification, which refreshed the state-of-the-art(SOTA) performance of TDNN models. However, one-dimensional…

cs.SD2022

The HCCL System for the NIST SRE21

Zhuo Li, Runqiu Xiao, Hangting Chen +3

This paper describes the systems developed by the HCCL team for the NIST 2021 speaker recognition evaluation (NIST SRE21).We first explore various state-of-the-art speaker embeddin…