Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

Development of Alarm System Based on Speech Recognition

Authors
Qingsong Zhu, Hongzhao Li, Ruyan Ye, Meide Xu, Fayue Zheng
Corresponding Author
Qingsong Zhu
Available Online February 2017.
DOI
https://doi.org/10.2991/emcm-16.2017.1How to use a DOI?
Keywords
Speech recognition; Alarm system; Real-time monitoring; Protection of residents; Security
Abstract
Aiming at the burglary, fire and the safety and health of the elderly in current living quarters, a kind of alarm system based on speech recognition is developed. The video monitoring device can be triggered by the voice alarm signal which is sent to the mobile client at the same time. Monitor people can see the scene immediately and take measures to help people in danger. It is proved that the speech recognition rate can achieve alarm and start monitoring in 0.5s and reach more than 98% speech recognition in an environment of no more than 50 dB, which can reduce the personal injury and property damage due to unexpected events with no alarming in time. The system has a positive significance in the protection of the residents to a certain extent.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
Part of series
Advances in Computer Science Research
Publication Date
February 2017
ISBN
978-94-6252-297-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/emcm-16.2017.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qingsong Zhu
AU  - Hongzhao Li
AU  - Ruyan Ye
AU  - Meide Xu
AU  - Fayue Zheng
PY  - 2017/02
DA  - 2017/02
TI  - Development of Alarm System Based on Speech Recognition
BT  - 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.1
DO  - https://doi.org/10.2991/emcm-16.2017.1
ID  - Zhu2017/02
ER  -