This paper is in the following e-collection/theme issue:

Development of Novel Medical Devices and Innovations for Existing Devices (88) New Methods (1027) Machine Learning (1710) Bots and AI Approaches to Detect and Counter Misinformation (11) Data Sources and Open Data for Infodemiology (19)

Published on in Vol 9 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56245, first published .
Investigation of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation

Investigation of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation

Investigation of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation

Authors of this article:

Nikhil Valsan Kulangareth1 Author Orcid Image ;   Jaycee Kaufman1 Author Orcid Image ;   Jessica Oreskovic1 Author Orcid Image ;   Yan Fossat1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Akhtar Z, Pendyala T, Athmakuri V. Video and Audio Deepfake Datasets and Open Issues in Deepfake Technology: Being Ahead of the Curve. Forensic Sciences 2024;4(3):289 View
  2. Usama Tanveer Gujjar M, Munir K, Amjad M, Rehman A, Bermak A. Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection. IEEE Access 2024;12:197442 View

Conference Proceedings

  1. Jain E, Singh A. 2024 International Conference on Communication, Control, and Intelligent Systems (CCIS). Deepfake Voice Detection Using Convolutional Neural Networks: A Comprehensive Approach to Identifying Synthetic Audio View
  2. Lee D, Choi J, Noh J. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. OptiSub: Optimizing Video Subtitle Presentation for Varied Display and Font Sizes via Speech Pause-Driven Chunking View