DocumentCode
2379619
Title
An acoustic abnormal detection system
Author
Masubuchi, Hideyuki ; Kobayashi, Hisato
Author_Institution
Dept. of Electr. Eng., Hosei Univ., Tokyo, Japan
fYear
1993
fDate
3-5 Nov 1993
Firstpage
237
Lastpage
242
Abstract
In this paper, we investigate the possibility of using emergency screams as an emergency stop button. Conventional emergency stop systems are not feasible when machines are operated by nonengineers, because they do not anything except crying in such case. We adopt wavelet transformation for pre-processing the screams, and we use a neural network for detecting abnormalities in the processed data. This paper shows several numerical experiments to demonstrate the ability of the system
Keywords
accidents; alarm systems; neural nets; robots; speech processing; wavelet transforms; acoustic abnormal detection system; emergency screams; emergency stop systems; neural network; pre-processing; wavelet transformation; Acoustic signal detection; Band pass filters; Biological neural networks; Frequency; Humans; Neural networks; Robots; Signal resolution; Wavelet analysis; Wavelet domain;
fLanguage
English
Publisher
ieee
Conference_Titel
Robot and Human Communication, 1993. Proceedings., 2nd IEEE International Workshop on
Conference_Location
Tokyo
Print_ISBN
0-7803-1407-7
Type
conf
DOI
10.1109/ROMAN.1993.367715
Filename
367715
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