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.

Authors: Gärtner, Daniel; Cuccovillo, Luca; Mann, Sebastian; Aichroth, Patrick
Affiliation: Fraunhofer IDMT, Ilmenau, Germany
AES Conference: 54th International Conference: Audio Forensics (June 2014)
Paper Number: 4-3
Publication Date: June 12, 2014 Import into BibTeX
Subject: Audio Authentication
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=17326

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