Title :
An acoustic abnormal detection system
Author :
Masubuchi, Hideyuki ; Kobayashi, Hisato
Author_Institution :
Dept. of Electr. Eng., Hosei Univ., Tokyo, Japan
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;
Conference_Titel :
Robot and Human Communication, 1993. Proceedings., 2nd IEEE International Workshop on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1407-7
DOI :
10.1109/ROMAN.1993.367715
