期刊论文

Wang, ZF

英文

Speech Communication

0167-6393

2024

158

103046

10.1016/j.specom.2024.103046

CRediT authorship contribution statement Chunyan Zeng: Conceptualization, acquisition, Investigation, Methodology, Writing – original draft. Shuai Kong: Investigation, Methodology, Writing – original draft. Zhifeng Wang: Conceptualization, acquisition, Investigation, Methodology, Writing – original draft, Writing – review & editing. Shixiong Feng: Investigation, Writing – original draft. Nan Zhao: Investigation, Methodology. Juan Wang: Software.

本校为通讯机构

The current digital speech deletion and insertion tampering detection methods mainly employes the extraction of phase and frequency features of the Electrical Network Frequency (ENF). However, there are some problems with the existing approaches, such as the alignment problem for speech samples with different durations, the sparsity of ENF features, and the small number of tampered speech samples for training, which lead to low accuracy of deletion and insertion tampering detection. Therefore, this paper proposes a tampering detection method for digital speech deletion and insertion based on E...