Unmasking the Truth: A Deep Learning Approach to Detecting Deepfake Audio Through MFCC Features-Reference-Cited by-同舟云学术

Unmasking the Truth: A Deep Learning Approach to Detecting Deepfake Audio Through MFCC Features

Published:2023-08-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Information Technology (ICIT)
language:
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Author:

Altalahin Islam¹,AlZu'bi Shadi¹,Alqudah Assal¹,Mughaid Ala²

Affiliation:

1. Alzaytoonah University of Jordan,Department of Computer Science,Amman,Jordan

2. The Hashemite University,Faculty of prince Al-Hussien bin Abdullah for IT,Dept. of Information Technology,Zarqa,Jordan,13133

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10225686/10225751/10226172.pdf?arnumber=10226172

Reference33 articles.

1. Correction to: Improved dropping attacks detecting system in 5g networks using machine learning and deep learning approaches

2. Utilizing Machine Learning Algorithms for Effectively Detection IoT DDoS Attacks

3. Beyond Accuracy: Behavioral Testing of NLP Models with CheckList

4. Protecting data privacy and prevent fake news and deep-fakes in social media via blockchain technology;jing;Advances in Cyber Security Second In-ternational Conference ACeS 2020,2021

5. How deep are the fakes? focusing on audio deepfake: A survey;khanjani;ArXiv Preprint,2021

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