Papers by Wassay Sajjad
Deepfake Defense: Constructing and Evaluating a Specialized Urdu Deepfake Audio Dataset (2024.findings-acl)
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Sheza Munir, Wassay Sajjad, Mukeet Raza, Emaan Abbas, Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza
| Challenge: | Automatic speaker verification systems are facing escalating challenges due to deepfake attacks. |
| Approach: | They propose a Urdu deepfake audio dataset for deepfak detection focusing on two spoofing attacks – Tacotron and VITS TTS. |
| Outcome: | The proposed dataset evaluates two spoofing attacks in Urdu with a human evaluation to gauge whether people are able to distinguish deepfake audios from real (bonafide) audios. |