KTUCengAudioForgerySet: A New Audio Copy-Move Forgery Dataset

Abstract

As technological equipment continues to improve; recording has become possible anywhere and anytime. Audio files, which we commonly encounter in cyberspace, can be used to entertain, inform our daily lives or sometimes to provide evidence in court. In this case, there is the problem of verifying the sound files produced and used. The method of audio copy moving forgery is a type of forgery that has been widely used by attackers in recent years. This situation has become particularly noticeable with the increase in the availability of easy-to-use audio editing software. Studies on detecting audio copy-move forgery are increasing day by day in the literature. However, the main problem with existing studies is the lack of a large, open-source dataset. In this study, original sounds were recorded from 50 women and 50 men in three different environments (quiet room, canteen and office). A total of 200 texts produced by the Department of Turkish Language and Literature were read by the people in the three different environments. In this paper, details of the data set and some experimental results will be given. © 2024 IEEE.