• Corpus ID: 252917558

Digital Audio Forensics: Blind Human Voice Mimicry Detection

@inproceedings{Ajmi2022DigitalAF,
  title={Digital Audio Forensics: Blind Human Voice Mimicry Detection},
  author={Sahar Al Ajmi and Khizar Hayat and Alaa M. Al Obaidi and Naresh Kumar and Munaf Najmuldeen and Baptiste Magnier},
  year={2022}
}
Audio is one of the most used ways of human communication, but at the same time it can be easily misused by to trick people. With the revolution of AI, the related technologies are now accessible to almost everyone thus making it simple for the criminals to commit crimes and forgeries. In this work, we introduce a deep learning method to develop a classifier that will blindly classify an input audio as real or mimicked. The proposed model was trained on a set of important features extracted from… 

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