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Revealing real quality of double compressed MP3 audio

Published: 25 October 2010 Publication History

Abstract

MP3 is the most popular format for audio storage and a de facto standard of digital audio compression for the transfer and playback. The flexibility of compression ratio of MP3 coding enables users to choose their customized configuration in the trade-off between file size and quality. Double MP3 compression often occurs in audio forgery, steganography and quality faking by transcoding an MP3 audio to a different compression ratio. To detect double MP3 compression, in this paper, we extract the statistical features on the modified discrete cosine transform, and apply support vector machines and a dynamic evolving neuron-fuzzy inference system to the extracted features for classification. Experimental results show that our method effectively and accurately detects double MP3 compression for both up-transcoded and down-transcoded MP3 files. Our study also indicates the potential for mining the audio processing history for forensic purposes.

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Qiao M, Sung AH, Liu Q (2009). Steganalysis of MP3Stego. In Proceedings of 22nd International Joint Conference on Neural Networks, Atlanta, Jun. 14--19, 2009, pp. 2566--2571
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Liu Q, Sung AH and Qiao M (2009). Novel feature mining for audio steganalysis. In Proceedings of 17th ACM Multimedia Conference, Beijing, Oct. 19--24, 2009, pp. 95--104.
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Liu Q, Sung AH and Qiao M (2009). Temporal derivative based spectrum and melcepstrum audio steganalysis. IEEE Trans. on Information Forensics and Security 4(3): 359--368.
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Cited By

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  • (2024)Exploring the Effectiveness of the Phase Features on Double Compressed AMR Speech DetectionApplied Sciences10.3390/app1411457314:11(4573)Online publication date: 26-May-2024
  • (2022)A New Hybrid Steganography Scheme Employing A Time-Varying Delayed Chaotic Neural Network2022 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)10.1109/CyberC55534.2022.00032(152-157)Online publication date: Oct-2022
  • (2021)Towards Blind Audio Quality Assessment using a Convolutional-Recurrent Neural Network2021 13th International Conference on Quality of Multimedia Experience (QoMEX)10.1109/QoMEX51781.2021.9465476(91-96)Online publication date: 14-Jun-2021
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cover image ACM Conferences
MM '10: Proceedings of the 18th ACM international conference on Multimedia
October 2010
1836 pages
ISBN:9781605589336
DOI:10.1145/1873951
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 October 2010

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Author Tags

  1. SVM
  2. audio
  3. digital forgery
  4. double mp3 compression
  5. neuron-fuzzy inference system
  6. pattern classification

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  • Short-paper

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MM '10
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MM '10: ACM Multimedia Conference
October 25 - 29, 2010
Firenze, Italy

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

View all
  • (2024)Exploring the Effectiveness of the Phase Features on Double Compressed AMR Speech DetectionApplied Sciences10.3390/app1411457314:11(4573)Online publication date: 26-May-2024
  • (2022)A New Hybrid Steganography Scheme Employing A Time-Varying Delayed Chaotic Neural Network2022 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)10.1109/CyberC55534.2022.00032(152-157)Online publication date: Oct-2022
  • (2021)Towards Blind Audio Quality Assessment using a Convolutional-Recurrent Neural Network2021 13th International Conference on Quality of Multimedia Experience (QoMEX)10.1109/QoMEX51781.2021.9465476(91-96)Online publication date: 14-Jun-2021
  • (2020)Compression Detection of Audio Waveforms Based on Stacked AutoencodersArtificial Intelligence and Security10.1007/978-3-030-57881-7_35(393-404)Online publication date: 1-Sep-2020
  • (2019)Highly secured image hiding technique in stereo audio signal based on complete complementary codesMultimedia Tools and Applications10.1007/s11042-019-08122-xOnline publication date: 13-Sep-2019
  • (2018)An ENF-Based Audio Authenticity Method Robust to MP3 CompressionCircuits, Systems, and Signal Processing10.5555/3288801.328882437:11(4973-4992)Online publication date: 1-Nov-2018
  • (2018)AAC Double Compression Audio Detection Algorithm Based on the Difference of Scale FactorInformation10.3390/info90701619:7(161)Online publication date: 2-Jul-2018
  • (2018)Audio Amplitude-Level Quantification Vector for Identification of Audio Post-Processing Operation2018 International Conference on Sensor Networks and Signal Processing (SNSP)10.1109/SNSP.2018.00050(226-230)Online publication date: Oct-2018
  • (2018)Digital multimedia audio forensicsMultimedia Tools and Applications10.1007/s11042-016-4277-277:1(1009-1040)Online publication date: 1-Jan-2018
  • (2018)An ENF-Based Audio Authenticity Method Robust to MP3 CompressionCircuits, Systems, and Signal Processing10.1007/s00034-018-0793-937:11(4973-4992)Online publication date: 8-Mar-2018
  • Show More Cited By

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