Copy-move detection of audio recording with pitch similarity

Qi Yan; Rui Yang; Jiwu Huang

ICASSP 2015accepted0 citations

Copy-move detection of audio recording with pitch similarity

Abstract

The widespread availability of audio editing software has made it very easy to create forgeries without perceptual trace. Copy-move is one of popular audio forgeries. It is very important to identify audio recording with duplicated segments. However, copy-move detection in digital audio with sample by sample comparison is invalid due to post-processing after forgeries. In this paper we present a method based on pitch similarity to detect copy-move forgeries. We use a robust pitch tracking method to extract the pitch of every syllable and calculate the similarities of these pitch sequences. Then we can use the similarities to detect copy-move forgeries of digital audio recording. Experimental result shows that our method is feasible and efficient.

BibTeX

@inproceedings{icassp2015_copymovedetectio,
  title = {Copy-move detection of audio recording with pitch similarity},
  author = {Qi Yan and Rui Yang and Jiwu Huang},
  booktitle = {ICASSP 2015},
  year = {2015}
}