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2024 47th International Conference on Telecommunications and Signal Processing (TSP)

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KTUCengAudioForgerySet: A new Audio Copy-Move Forgery Dataset

With increasing technological equipment, sound recording has become possible anytime, anywhere. Audio files, which we commonly encounter in cyberspace, can be used for entertainment purposes, informational purposes in our daily lives, or sometimes as evidence in courts. In this case, it brings with it the problem of verifying the sound files produced and used. The audio copy move forgery method is a type of forgery widely used by attackers in recent years. This situation has become particularly remarkable with the increase in easy-to-use audio editing software. Studies on detecting audio copy-move forgery are increasing day by day in the literature. However, the most important problem with existing studies is the lack of a large dataset published as open source. In this study, original sounds were taken from 50 females and 50 males in three different environments (quiet, canteen, and office). 200 texts created by the Turkish Language and Literature department were read by people in three different environments. Details of the dataset and some experimental results will be given during the study.

Beste Ustubioglu
Karadeniz Technical Unicversity
Turkey

Gul Tahaoglu
Karadeniz Technical Unicversity
Turkey

Gülşen Özçamkan Ayaz
TRABZON UNIVERSITY
Turkey

Arda Ustubioglu
Trabzon University
Turkey

Guzin Ulutas
Karadeniz Technical University
Turkey

Mevhibe Coşar
Karadeniz Technical University
Turkey

Erdal Kılıç
Ondokuz Mayis University
Turkey

Muhammed Kılıç
Karadeniz Technical University
Turkey

 

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