Detection of Montage in Lossy Compressed Digital Audio Recordings
This paper addresses the problem of tampering detection and discusses methods used for authenticity analysis of digital audio recordings. Presented approach is based on frame offset measurement in audio files compressed and decoded by using perceptual audio coding algorithms which employ modified di...
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| Format: | Article |
| Language: | English |
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Institute of Fundamental Technological Research Polish Academy of Sciences
2014-12-01
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| Series: | Archives of Acoustics |
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| Online Access: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/1522 |
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| author | Rafał KORYCKI |
| author_facet | Rafał KORYCKI |
| author_sort | Rafał KORYCKI |
| collection | DOAJ |
| description | This paper addresses the problem of tampering detection and discusses methods used for authenticity analysis of digital audio recordings. Presented approach is based on frame offset measurement in audio files compressed and decoded by using perceptual audio coding algorithms which employ modified discrete cosine transform. The minimum values of total number of active MDCT coefficients occur for frame shifts equal to multiplications of applied window length. Any modification of audio file, including cutting off or pasting a part of audio recording causes a disturbance within this regularity. In this study the algorithm based on checking frame offset previously described in the literature is expanded by using each of four types of analysis windows commonly applied in the majority of MDCT based encoders. To enhance the robustness of the method additional histogram analysis is performed by detecting the presence of small value spectral components. Moreover, computation of maximum values of nonzero spectral coefficients is employed, which creates a gating function for the results obtained based on previous algorithm. This solution radically minimizes a number of false detections of forgeries. The influence of compression algorithms’ parameters on detection of forgeries is presented by applying AAC and Ogg Vorbis encoders as examples. The effectiveness of tampering detection algorithms proposed in this paper is tested on a predefined music database and compared graphically using ROC-like curves. |
| format | Article |
| id | doaj-art-725336becbe1485db0e4d28f1ba3fe82 |
| institution | Kabale University |
| issn | 0137-5075 2300-262X |
| language | English |
| publishDate | 2014-12-01 |
| publisher | Institute of Fundamental Technological Research Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Acoustics |
| spelling | doaj-art-725336becbe1485db0e4d28f1ba3fe822025-08-20T03:50:48ZengInstitute of Fundamental Technological Research Polish Academy of SciencesArchives of Acoustics0137-50752300-262X2014-12-0139110.2478/aoa-2014-0007Detection of Montage in Lossy Compressed Digital Audio RecordingsRafał KORYCKI0Institute of Radioelectronics, Warsaw University of TechnologyThis paper addresses the problem of tampering detection and discusses methods used for authenticity analysis of digital audio recordings. Presented approach is based on frame offset measurement in audio files compressed and decoded by using perceptual audio coding algorithms which employ modified discrete cosine transform. The minimum values of total number of active MDCT coefficients occur for frame shifts equal to multiplications of applied window length. Any modification of audio file, including cutting off or pasting a part of audio recording causes a disturbance within this regularity. In this study the algorithm based on checking frame offset previously described in the literature is expanded by using each of four types of analysis windows commonly applied in the majority of MDCT based encoders. To enhance the robustness of the method additional histogram analysis is performed by detecting the presence of small value spectral components. Moreover, computation of maximum values of nonzero spectral coefficients is employed, which creates a gating function for the results obtained based on previous algorithm. This solution radically minimizes a number of false detections of forgeries. The influence of compression algorithms’ parameters on detection of forgeries is presented by applying AAC and Ogg Vorbis encoders as examples. The effectiveness of tampering detection algorithms proposed in this paper is tested on a predefined music database and compared graphically using ROC-like curves.https://acoustics.ippt.pan.pl/index.php/aa/article/view/1522tampering detectiondigital forgeriesdigital audio authenticitylossy compressionframe offsetsMDCT |
| spellingShingle | Rafał KORYCKI Detection of Montage in Lossy Compressed Digital Audio Recordings Archives of Acoustics tampering detection digital forgeries digital audio authenticity lossy compression frame offsets MDCT |
| title | Detection of Montage in Lossy Compressed Digital Audio Recordings |
| title_full | Detection of Montage in Lossy Compressed Digital Audio Recordings |
| title_fullStr | Detection of Montage in Lossy Compressed Digital Audio Recordings |
| title_full_unstemmed | Detection of Montage in Lossy Compressed Digital Audio Recordings |
| title_short | Detection of Montage in Lossy Compressed Digital Audio Recordings |
| title_sort | detection of montage in lossy compressed digital audio recordings |
| topic | tampering detection digital forgeries digital audio authenticity lossy compression frame offsets MDCT |
| url | https://acoustics.ippt.pan.pl/index.php/aa/article/view/1522 |
| work_keys_str_mv | AT rafałkorycki detectionofmontageinlossycompresseddigitalaudiorecordings |