3 citations · 15 across the 19 of their papers we have counts for
6 papers · 1 filter
Mobile Recording Device Recognition Based Cross-Scale and Multi-Level Representation Learning
Chunyan Zeng, Yuhao Zhao, Zhifeng Wang
This paper introduces a modeling approach that employs multi-level global processing, encompassing both short-term frame-level and long-term sample-level feature scales. In the ini…
DSARSR: Deep Stacked Auto-encoders Enhanced Robust Speaker Recognition
Zhifeng Wang, Chunyan Zeng, Surong Duan +2
Speaker recognition is a biometric modality that utilizes the speaker's speech segments to recognize the identity, determining whether the test speaker belongs to one of the enroll…
End-to-end Recording Device Identification Based on Deep Representation Learning
Chunyan Zeng, Dongliang Zhu, Zhifeng Wang +3
Deep learning techniques have achieved specific results in recording device source identification. The recording device source features include spatial information and certain temp…
Audio Tampering Detection Based on Shallow and Deep Feature Representation Learning
Zhifeng Wang, Yao Yang, Chunyan Zeng +3
Digital audio tampering detection can be used to verify the authenticity of digital audio. However, most current methods use standard electronic network frequency (ENF) databases f…
Spatio-Temporal Representation Learning Enhanced Source Cell-phone Recognition from Speech Recordings
Chunyan Zeng, Shixiong Feng, Zhifeng Wang +3
The existing source cell-phone recognition method lacks the long-term feature characterization of the source device, resulting in inaccurate representation of the source cell-phone…
Digital Audio Tampering Detection Based on ENF Spatio-temporal Features Representation Learning
Chunyan Zeng, Shuai Kong, Zhifeng Wang +2
Most digital audio tampering detection methods based on electrical network frequency (ENF) only utilize the static spatial information of ENF, ignoring the variation of ENF in time…