Quarrel Detection System by Voice Signal Processing
Main Article Content
Abstract
Nowadays, Closed Circuit Television (CCTV) has been widely used due to the increase of crime. However, this system needs manpower to monitor during the operation which takes long time resulting in the weakness and the degradation of work quality. This paper proposes a system that monitors, automatically alarms and then sends a signal to administrators when a quarrel happens. The system proposed in this paper detects voice, volume, and frequency, as indicators to identify the level of voice to analyze the quarrel situation. The result showed that this system can distinguish the voice between quarrel and other events.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The content and information in articles published in the Journal of Advanced Development in Engineering and Science are the opinions and responsibility of the article's author. The journal editors do not need to agree or share any responsibility.
Articles, information, content, etc. that are published in the Journal of Advanced Development in Engineering and Science are copyrighted by the Journal of Advanced Development in Engineering and Science. If any person or organization wishes to publish all or any part of it or to do anything. Only prior written permission from the Journal of Advanced Development in Engineering and Science is required.
References
S Ra El LEE, Young Chul Choi and Jong Won Park, “Intelligent Video Monitoring System for Fight Sign”, International Conference on Control Automation and Systems, 2011, pp.1029-1030.
Xinpei Wang, Yuanyang Li, Churan Sun and Changchun Liu, “Detection of the First and Second Heart Sound Using Heart Sound Energy”, Biomedical Engineering and Informatics, 2009, pp.1-4.
N. Kandil, S. Georges and M. Saad, “Rapid Power System Transient Stability Limit Search Using Signal Energy and Neural Networks”, Industrial Electronics, 2006, pp.1658 -1661.
D. Donnelle and B. Rust, “The fast Fourier transform for experimentalists. Part I. Concepts”, Computing in Science & Engineering, Vol. 7, Issue 2, 2005, pp. 80-88.
G.E. Guraksin, U. Ergun, O. Deperlioglu, “Performing discrete Fourier transform of the heart sounds on the pocket computer”, Biomedical Engineering Meeting, 2009, pp. 1-4.