Welcome to Karadeniz Technical University Cyber Security Research Group

Audio forgery data set created for research project 122E013 and funded by the TUBÝTAK ARDEB 1001 Scientific and Technological Research Projects Support Program. You can find additional info about audios in the dataset.

The KtuArabicForgeryDataset used in the training and testing of the graph-based method, together with the KtuTimitForgeryDataset , has been made available for sharing.

Papers under 122E013 Project
  1. A novel audio copy move forgery detection method with classification of graph-based representations, 2025
  2. KTUCengAudioForgerySet: A new Audio Copy-Move Forgery Dataset, 2024, Dataset
  3. Mel spectrogram-based audio forgery detection using CNN, 2024, Dataset, Test set
  4. Audio forgery detection and localization with super-resolution spectrogram and keypoint-based clustering approach, 2024
  5. Multi pattern features based spoofing detection mechanism using one class learning, 2024
  6. Detection of audio copy-move-forgery with novel feature matching on Mel spectrogram, 2023
  7. Robust copy-move detection in digital audio forensics based on pitch and modified discrete cosine transform, 2022, Dataset
  8. Copy-Move Audio Forgery Detection with Instantaneous Frequency, 2024
  9. Detecting Audio Forgery with Rasta -PLP Rasta-PLP, 2024
  10. Audio Forgery Detection Method with Mel Spectrogram, 2024
  11. Deepfake audio detection with vision transformer-based method, 2023
  12. Robust Audio Forgery Detection Method Based on Capsule Network, 2023
  13. Forge Audio Detection Using Keypoint Features on Mel Spectrograms, 2022
  14. Block-Based Forgery Detection with Binary Gradient Model, 2022
  15. Localization of Forgery on Audio Clips Using GLCM Features and Mel Spectograms, 2022