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Detection of genuine lossless audio files. Application to the MPEG-AAC codec.

Abstract : In this study, we describe an algorithm that discriminates transcoded from true lossless audio files, i.e. file that are obtained by directly ripping a genuine audio CD, from file that are decoded from a lossy audio format (e.g. MP3, AAC) and re-encoded with a lossless format. This method should allow both consumers and online music dealers to check the authenticity of lossless music files. This implementation focuses on the MPEG AAC codec, but the method can also be applied to MP3 codec. It is based on the detection of quantization errors in the time-frequency domain, without machine learning. The final results on a large database of 1576 audio files, original and transcoded with AAC from iTunes, show null false positive ratios and very low false negative ratios, possibly null for high-precision settings, which is better than other methods.
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Contributor : Olivier Derrien Connect in order to contact the contributor
Submitted on : Friday, March 29, 2019 - 8:59:12 AM
Last modification on : Wednesday, November 3, 2021 - 9:42:20 AM
Long-term archiving on: : Sunday, June 30, 2019 - 12:53:41 PM


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Olivier Derrien. Detection of genuine lossless audio files. Application to the MPEG-AAC codec.. Journal of the Audio Engineering Society, 2019, 67 (3), pp.116--123. ⟨10.17743/jaes.2019.0002⟩. ⟨hal-02055742⟩



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