Copy-move detection of audio recording with pitch similarity
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...
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Published in | 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1782 - 1786 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.04.2015
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 1520-6149 2379-190X |
DOI: | 10.1109/ICASSP.2015.7178277 |