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Sensors 2018, 18(4), 1076; https://doi.org/10.3390/s18041076

Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors

Division of Mechanical and Automotive Engineering, Kongju National University, Cheonan, Chungnam 31080, Korea
Received: 7 March 2018 / Revised: 30 March 2018 / Accepted: 31 March 2018 / Published: 3 April 2018
(This article belongs to the Section Sensor Networks)
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Abstract

Accurate sound visualization of noise sources is required for optimal noise control. Typically, noise measurement systems require microphones, an analog-digital converter, cables, a data acquisition system, etc., which may not be affordable for potential users. Also, many such systems are not highly portable and may not be convenient for travel. Handheld personal electronic devices such as smartphones and digital voice recorders with relatively lower costs and higher performance have become widely available recently. Even though such devices are highly portable, directly implementing them for noise measurement may lead to erroneous results since such equipment was originally designed for voice recording. In this study, external microphones were connected to a digital voice recorder to conduct measurements and the input received was processed for noise visualization. In this way, a low cost, compact sound visualization system was designed and introduced to visualize two actual noise sources for verification with different characteristics: an enclosed loud speaker and a small air compressor. Reasonable accuracy of noise visualization for these two sources was shown over a relatively wide frequency range. This very affordable and compact sound visualization system can be used for many actual noise visualization applications in addition to educational purposes. View Full-Text
Keywords: low cost; digital voice recorder; sound visualization; noise source identification low cost; digital voice recorder; sound visualization; noise source identification
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Cho, Y.T. Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors. Sensors 2018, 18, 1076.

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