Deepfake Audio Detection via MFCC Features Using Machine Learning

Deepfake Audio Detection via MFCC Features Using Machine Learning

Deepfake content is created or altered synthetically using artificial intelligence (AI) approaches to appear real. It can include synthesizing audio, video, images, and text. Deepfakes may now produce natural-looking content, making them harder to identify. Much progress has been achieved in identif...

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Bibliographic Details
Main Authors: Ameer Hamza, Abdul Rehman Rehman Javed, Farkhund Iqbal, Natalia Kryvinska, Ahmad S. Almadhor, Zunera Jalil, Rouba Borghol
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deepfakes
deepfake audio
synthetic audio
machine learning
acoustic data
Online Access:https://ieeexplore.ieee.org/document/9996362/

Internet

https://ieeexplore.ieee.org/document/9996362/

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