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http://dx.doi.org/10.5391/JKIIS.2009.19.3.415

Implementation of Intelligent Speech Recognition System according to CCTV Emergency Information  

Cho, Young-Im (수원대학교 IT대학 컴퓨터학과)
Jang, Sung-Soon (수원대학교 IT대학 컴퓨터학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.19, no.3, 2009 , pp. 415-420 More about this Journal
Abstract
For the emergency detecting in general CCTV environment of our daily life, the monitoring by only images through CCTV information occurs some problems especially in cost as well as man power. Therefore, in this paper, for detecting emergency state dynamically through CCTV as well as resolving some problems, we propose our advanced speech recognition system. For the purpose of it, we adopt HMM(Hidden Markov Model) in our system to do a feature extraction. Also, we adopt Wiener filter technique for noise elimination in many information coming from on CCTV environment. In this paper, our system send only the emergency speech information to a manager to deal with emergency state effectively.
Keywords
Eergency; CCTV; HMM; Wiener filter; MFCC;
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