High-Performance Fake Voice Detection on Automatic Speaker Verification Systems for the Prevention of Cyber Fraud with Convolutional Neural Networks

Simple item page
dc.contributor.author Buettner, Ricardo
dc.contributor.author Gross, Jan
dc.contributor.author Roessler, Philipp
dc.contributor.author Winter, Julia
dc.contributor.author Sauter, Daniel
dc.contributor.author Baumgartl, Hermann
dc.contributor.author Ulrich, Patrick
dc.date.accessioned 2021-12-24T18:17:20Z
dc.date.available 2021-12-24T18:17:20Z
dc.date.issued 2022-01-04
dc.description.abstract This study proposes a highly effective data analytics approach to prevent cyber fraud on automatic speaker verification systems by classifying histograms of genuine and spoofed voice recordings. Our deep learning-based lightweight architecture advances the application of fake voice detection on embedded systems. It sets a new benchmark with a balanced accuracy of 95.64% and an equal error rate of 4.43%, contributing to adopting artificial intelligence technologies in organizational systems and technologies. As fake voice-related fraud causes monetary damage and serious privacy concerns for various applications, our approach improves the security of such services, being of high practical relevance. Furthermore, the post-hoc analysis of our results reveals that our model confirms image texture analysis-related findings of prior studies and discovers further voice signal features (i.e., textural and contextual) that can advance future work in this field.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.764
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/80104
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Data Analytics, Control Systems, Business Strategies
dc.subject cyber fraud
dc.subject data analytics
dc.subject deep learning
dc.subject fake voice
dc.subject organizations
dc.title High-Performance Fake Voice Detection on Automatic Speaker Verification Systems for the Prevention of Cyber Fraud with Convolutional Neural Networks
dc.type.dcmi text
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
0615.pdf
Size:
1 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Data Analytics, Control Systems, Business Strategies