Reference Hub12
Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment

Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment

Xinchao Huang, Zihan Liu, Wei Lu, Hongmei Liu, Shijun Xiang
Copyright: © 2019 |Volume: 11 |Issue: 2 |Pages: 16
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781522565154|DOI: 10.4018/IJDCF.2019040104
Cite Article Cite Article

MLA

Huang, Xinchao, et al. "Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment." IJDCF vol.11, no.2 2019: pp.47-62. http://doi.org/10.4018/IJDCF.2019040104

APA

Huang, X., Liu, Z., Lu, W., Liu, H., & Xiang, S. (2019). Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment. International Journal of Digital Crime and Forensics (IJDCF), 11(2), 47-62. http://doi.org/10.4018/IJDCF.2019040104

Chicago

Huang, Xinchao, et al. "Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment," International Journal of Digital Crime and Forensics (IJDCF) 11, no.2: 47-62. http://doi.org/10.4018/IJDCF.2019040104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Detecting digital audio forgeries is a significant research focus in the field of audio forensics. In this article, the authors focus on a special form of digital audio forgery—copy-move—and propose a fast and effective method to detect doctored audios. First, the article segments the input audio data into syllables by voice activity detection and syllable detection. Second, the authors select the points in the frequency domain as feature by applying discrete Fourier transform (DFT) to each audio segment. Furthermore, this article sorts every segment according to the features and gets a sorted list of audio segments. In the end, the article merely compares one segment with some adjacent segments in the sorted list so that the time complexity is decreased. After comparisons with other state of the art methods, the results show that the proposed method can identify the authentication of the input audio and locate the forged position fast and effectively.