Abstract
With the continual growth of the requirements of digital audios, some people have been selling the fake-quality audio which was transcoded from the audio with worse quality and lower price for profits. For protecting the legitimate rights of consumers to some extent, a method for telling whether the WAV audio has been compressed with the audio encoders (MP3, AAC or OGG) is presented by using the statistical features of phase difference in this paper. The experimental results show that the proposed method can effectively detect whether the given WAV audio is original or not, and furthermore, it can identify the type of the codec. The overall hit rate can reach over 97 %.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant No. 61170137, 61300055, 61301247), Zhejiang Natural Science Foundation (Grant No. LY13F020013), Ningbo Natural Science Foundation (Grant No. 2013A610057, 2013A610059), Ningbo University Fund (Grant No. XKXL1313, XKXL1310) and K.C. Wong Magna Fund in Ningbo University.
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Zhou, J., Wang, R., Jin, C., Yan, D. (2015). Detecting Fake-Quality WAV Audio Based on Phase Differences. In: Shi, YQ., Kim, H., Pérez-González, F., Yang, CN. (eds) Digital-Forensics and Watermarking. IWDW 2014. Lecture Notes in Computer Science(), vol 9023. Springer, Cham. https://doi.org/10.1007/978-3-319-19321-2_40
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DOI: https://doi.org/10.1007/978-3-319-19321-2_40
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