Digital audio tampering detection based on deep temporal–spatial features of electrical network frequency

C Zeng, S Kong, Z Wang, K Li, Y Zhao - Information, 2023 - mdpi.com
In recent years, digital audio tampering detection methods by extracting audio electrical
network frequency (ENF) features have been widely applied. However, most digital audio …

An end-to-end transfer learning framework of source recording device identification for audio sustainable security

Z Wang, J Zhan, G Zhang, D Ouyang, H Guo - Sustainability, 2023 - mdpi.com
Source recording device identification poses a significant challenge in the field of Audio
Sustainable Security (ASS). Most existing studies on end-to-end identification of digital …

Squeeze-and-excitation self-attention mechanism enhanced digital audio source recognition based on transfer learning

C Zeng, Y Zhao, Z Wang, K Li, X Wan, M Liu - Circuits, Systems, and …, 2024 - Springer
Recent advances in digital audio source recognition, particularly within judicial forensics
and intellectual property rights domains, have been significantly propelled by deep learning …

Source acquisition device identification from recorded audio based on spatiotemporal representation learning with multi-attention mechanisms

C Zeng, S Feng, D Zhu, Z Wang - Entropy, 2023 - mdpi.com
Source acquisition device identification from recorded audio aims to identify the source
recording device by analyzing the intrinsic characteristics of audio, which is a challenging …

Deletion and insertion tampering detection for speech authentication based on fluctuating super vector of electrical network frequency

C Zeng, S Kong, Z Wang, S Feng, N Zhao… - Speech …, 2024 - Elsevier
The current digital speech deletion and insertion tampering detection methods mainly
employes the extraction of phase and frequency features of the Electrical Network …

Yolov5 enhanced learning behavior recognition and analysis in smart classroom with multiple students

Z Wang, J Yao, C Zeng, W Wu, H Xu… - … on Intelligent Education …, 2022 - ieeexplore.ieee.org
Deep learning-based computer vision technology has grown stronger in recent years, and
cross-fertilization using computer vision technology has been a popular direction in recent …

Audio source recording device recognition based on representation learning of sequential gaussian mean matrix

C Zeng, S Feng, Z Wang, Y Zhao, K Li, X Wan - Forensic Science …, 2024 - Elsevier
Audio source recording device recognition is a critical digital forensic task that involves
identifying the source device based on intrinsic audio characteristics. This technology finds …

Smart contract vulnerability detection for educational blockchain based on graph neural networks

Z Wang, W Wu, C Zeng, J Yao… - … on Intelligent Education …, 2022 - ieeexplore.ieee.org
With the development of blockchain technology, more and more attention has been paid to
the intersection of blockchain and education, and various educational evaluation systems …

ENFformer: Long-short term representation of electric network frequency for digital audio tampering detection

C Zeng, K Li, Z Wang - Knowledge-Based Systems, 2024 - Elsevier
Detecting digital audio tampering is essential for ensuring judicial fairness and societal
security. Traditional methods, primarily based on Electric Network Frequency (ENF), have …

1D-CNN-based audio tampering detection using ENF signals

H Zhao, Y Ye, X Shen, L Liu - Scientific Reports, 2024 - nature.com
The extensive adoption of digital audio recording has revolutionized its application in digital
forensics, particularly in civil litigation and criminal prosecution. Electric network frequency …