Huriyyah Althenayan

بعد أكاديمية كاوست

Huriyyah works as a data scientist at Riyad Bank. Huriyyah earned a second honors degree from King Saud University in 2023, placed third in the DearAI hackathon run by KAUST Innovation in August 2023, and was nominated as a Value Ambassador for Riyad Bank's Digital Banking division in 2025.

المشروع الصيفي

تخصص الذكاء الاصطناعي · دفعة 2023

Arabic Deepfake Audio Detection

With the fast evolution and widespread of deep-fake techniques in real-world scenarios, ensuring the authenticity and credibility of Arabic audio content has emerged as a paramount challenge. The imperative task of detecting deep-fake Arabic audio holds significant importance in upholding the reliability of auditory information and countering potential hazards. We propose a novel approach for deep-fake Arabic audio detection using machine learning and deep learning techniques, with a diverse dataset of real and fake Arabic audio, the dataset used is generated with put in mind high-quality and representative data and annotated In alignment with our commitment to advancing the field.

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