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A multi-codec audio dataset for codec analysis and tampering detection

 
: Gärtner, Daniel; Cuccovillo, Luca; Mann, Sebastian; Aichroth, Patrick

Kostek, B. ; Audio Engineering Society -AES-:
54th AES International Conference 2014. Audio Forensics : London, United Kingdom, 12-14 June 2014
Red Hook, NY: Curran, 2014
ISBN: 978-1-63439-758-2
pp.85-91
Audio Engineering Society (AES International Conference) <54, 2014, London>
English
Conference Paper
Fraunhofer IDMT ()
audio forensics; tampering detection; codec analysis

Abstract
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.

: http://publica.fraunhofer.de/documents/N-345604.html