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2018 | OriginalPaper | Chapter

AAC Audio Compression Detection Based on QMDCT Coefficient

Authors : Qijuan Huang, Rangding Wang, Diqun Yan, Jian Zhang

Published in: Cloud Computing and Security

Publisher: Springer International Publishing

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Abstract

Audio compression history detection is a significant part of audio forensics, which is important to detect whether audio has been tampered or forged. When the structure of AAC audio frame is destroyed, its spectral coefficient distribution is similar to that of audio after the first compression. An algorithm of AAC audio compression detection was presented by using the statistical characteristics of QMDCT coefficients before and after removal of sampling points as the discriminative feature. Experimental results demonstrate that the proposed method can distinguish the single, double compressed AAC audios effectively, and from the low-bit-rate transcoding to high-bit-rate, the average classification accuracy achieves 99.84%, the same-bit-rate compression detection accuracy achieves 98.60%. In addition, the results of comparison experiments show that our algorithm outperforms the state-of-the-art algorithm.

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Title: AAC Audio Compression Detection Based on QMDCT Coefficient
Authors: Qijuan Huang
Rangding Wang
Diqun Yan
Jian Zhang
Publisher: Springer International Publishing
Book: Cloud Computing and Security
Print ISBN: 978-3-030-00020-2

Electronic ISBN: 978-3-030-00021-9

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-030-00021-9_32

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