A Multi-Codec Audio Dataset for Codec Analysis and Tampering Detection

Gärtner D, Cuccovillo L, Mann S, Aichroth P. A Multi-Codec Audio Dataset for Codec Analysis and Tampering Detection. In: AES Conference: 54th International Conference: Audio Forensics. Audio Engineering Society; 2014. Paper 4-3. Available from: https://aes.org/publications/elibrary-page/?id=17326

@inproceedings{Gartner2014_17326,
  author = {Gärtner, Daniel and Cuccovillo, Luca and Mann, Sebastian and Aichroth, Patrick},
  title = {{A Multi-Codec Audio Dataset for Codec Analysis and Tampering Detection}},
  booktitle = {AES Conference: 54th International Conference: Audio Forensics},
  note = {Paper 4-3},
  year = {2014},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17326}
}

TY  - CPAPER
TI  - A Multi-Codec Audio Dataset for Codec Analysis and Tampering Detection
AU  - Gärtner, Daniel
AU  - Cuccovillo, Luca
AU  - Mann, Sebastian
AU  - Aichroth, Patrick
T2  - AES Conference: 54th International Conference: Audio Forensics
M1  - Paper 4-3
PY  - 2014
DA  - 2014/06/06
UR  - https://aes.org/publications/elibrary-page/?id=17326
PB  - Audio Engineering Society
LA  - en
AB  - In this paper, a multi-codec tampered dataset is presented. The doctored speech content does not contain audible artifacts or changes of semantic meanings, but tampered regions which can be detected via lossy compression traces, e.g. using framing grid analysis. Possible applications, content and annotations included, and the steps required to generate the dataset are described. The dataset can be accessed online and is meant to be used for evaluation purposes by anyone interested. Moreover, the creation of derived modified datasets is encouraged, and supported by the choice of a respective Creative Commons license.
ER  -