Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

The Probe Into Unpitched Sound Generator Design Based On Masking Effect And Audio Alarm

Authors
Dian Gu, Dongsong Yan, Junhao Liu
Corresponding Author
Dian Gu
Available Online June 2017.
DOI
10.2991/icmia-17.2017.73How to use a DOI?
Keywords
unpitched sound generator, masking effect, MCU, audio alarm
Abstract

Noise pollution does harm to urban residents, so we design an unpitched sound generator using masking effect in psychoacoustics, which can conceal or compete with ambient noise, in order to help people to be more concentrate. It can also generate warning noise according to the speed of electric bikes to improve driving safety. Experiment shows that natural noise has the best masking effect, while Meaningless noise has the highest masking efficiency. This sound generator we design is extensible and easy-to-use, and has high value, providing methods approach to compete noise interference and use noise to enhance security for a practical application.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
10.2991/icmia-17.2017.73
ISSN
1951-6851
DOI
10.2991/icmia-17.2017.73How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dian Gu
AU  - Dongsong Yan
AU  - Junhao Liu
PY  - 2017/06
DA  - 2017/06
TI  - The Probe Into Unpitched Sound Generator Design Based On Masking Effect And Audio Alarm
BT  - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 407
EP  - 410
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.73
DO  - 10.2991/icmia-17.2017.73
ID  - Gu2017/06
ER  -