Akademik Veri Yönetim Sistemi
32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024, Mersin, Türkiye, 15 - 18 Mayıs 2024
Since there are the advanced voice editing tools provided, the forgery of digital content such as video or voice could be performed and fake video or modified voice can be generated easly. Many methods have been proposed in the literature to detect audio forgery. In this study, for the first time in the literature, the RASTA-PLP method was used to detect audio copy-paste forgery. In the proposed study, first the voiced parts in the audio signal were detected using the pitch method. Afterward, feature vectors were extracted with RASTA-PLP from the detected voice segments. The correlation value was calculated between the feature vectors obtained for the detects of the forgery segments. Segments that correlation value is above a certain threshold value are marked as forgery segments. The proposed method has been tested on two different data sets. Obtained experimental results show that the proposed method is highly robust to attacks and superior to other methods in the literature.