A Java multithread audio acquisition for audio surveillance
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Document Type
Article
Source Title
Journal of Telecommunication, Electronic and Computer Engineering
Volume
10
Issue
1-6
First Page
165
Last Page
169
Publication Date
1-1-2018
Abstract
This paper presents a real time audio acquisition using a personal computer and multiple USB microphones. When audio stream is available, audio processing techniques can be added to make a real time audio surveillance. The output of this work can be used in audio processing techniques that require audio signals from multiple microphones like source localization and source separation. The designed algorithm implements Java threads and Java sound API (Applications Programming Interface ). Two to five microphone threads were run for about 1 second. Each setup was run for 5 trials. The 2-, 3-, and 4-microphone setup provided a promising result for a given hardware specification. The maximum difference for 2-microphone setup was 939 samples or 117 milliseconds duration. For 3-microphone setup, the maximum difference was 1109 samples or 138 milliseconds duration but the two-microphone setup got equal number of samples for about 60% of the trials. For 4-microphone set-up, the maximum number of difference was 1024 samples or about 128 milliseconds but 3 microphones3 microphones got equal number of samples for about 40% of the trials. The 5-microphone setup demonstrated that system resources cannot support that much number of microphones because the one microphone got a very low number of samples compared to other 4 microphones. © 2018 Universiti Teknikal Malaysia Melaka. All rights reserved.
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Recommended Citation
Dadula, C. P., & Dadios, E. P. (2018). A Java multithread audio acquisition for audio surveillance. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-6), 165-169. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/2037
Disciplines
Manufacturing
Keywords
Audio data mining; Sound—Analysis; Electronic surveillance; Simultaneous multithreading processors
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