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Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors
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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948570/ https://www.ncbi.nlm.nih.gov/pubmed/29614038 http://dx.doi.org/10.3390/s18041076 |
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author | Cho, Yong Thung |
author_facet | Cho, Yong Thung |
author_sort | Cho, Yong Thung |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5948570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59485702018-05-17 Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors Cho, Yong Thung Sensors (Basel) Article 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. MDPI 2018-04-03 /pmc/articles/PMC5948570/ /pubmed/29614038 http://dx.doi.org/10.3390/s18041076 Text en © 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cho, Yong Thung Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors |
title | Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors |
title_full | Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors |
title_fullStr | Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors |
title_full_unstemmed | Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors |
title_short | Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors |
title_sort | noise source visualization using a digital voice recorder and low-cost sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948570/ https://www.ncbi.nlm.nih.gov/pubmed/29614038 http://dx.doi.org/10.3390/s18041076 |
work_keys_str_mv | AT choyongthung noisesourcevisualizationusingadigitalvoicerecorderandlowcostsensors |