Detection of Speech Oriented Fraud Using Supervised Machine Learning Algorithms

Sridhar S K, Jayesh Ranjan

2025

Abstract

Through the usage of deep learning methodologies, this paper focuses on the detection of AI-synthesized voices utilized for fraudulent activities. The methodology aims to apply an innovative approach based on deep neural networks to differentiate between the genuine and artificially generated voice, the project showcases the productiveness of this technique in unmasking AI generated voices. The outcomes of this project provide valuable insights to support voice authentication systems and boosting security protocols in the face of the rising popularity of AI-simulated speech technologies, making a significant advancement in fighting possible misuse of such technologies.

Paper Citation

in Harvard Style

S K S. and Ranjan J. (2025). Detection of Speech Oriented Fraud Using Supervised Machine Learning Algorithms. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 609-615. DOI: 10.5220/0013598300004664

in Bibtex Style

@conference{incoft25,
author={Sridhar S K and Jayesh Ranjan},
title={Detection of Speech Oriented Fraud Using Supervised Machine Learning Algorithms},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={609-615},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013598300004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Detection of Speech Oriented Fraud Using Supervised Machine Learning Algorithms
SN - 978-989-758-763-4
AU - S K S.
AU - Ranjan J.
PY - 2025
SP - 609
EP - 615
DO - 10.5220/0013598300004664
PB - SciTePress