DocumentCode :
575181
Title :
Clustering and modeling of hazardous or non-hazardous sound in daily life
Author :
Suzuki, Ken ; Tanaka, Motoshi ; Inoue, Hiroshi
Author_Institution :
Dept. of Electr. & Electron. Eng., Akita Univ., Akita, Japan
fYear :
2012
fDate :
20-23 Aug. 2012
Firstpage :
1991
Lastpage :
1995
Abstract :
A system which detects hazardous sounds and situations in daily life was proposed. Feature vectors were consisted of spectral flux and 12 MFCCs which were extracted from a recorded daily sound. Clustering of daily sound (non-hazardous sound) by the complete link method was discussed. Probability model of the daily sound was created, and ten simulated hazardous sounds were examined with the probability model. Feasibility of detecting hazardous sound by the probability model was confirmed.
Keywords :
cepstral analysis; pattern clustering; probability; MFCC; Mel-frequency cepstrum coefficients; clustering method; complete link method; daily life; daily sound; feature vectors; hazardous sound; nonhazardous sound; probability model; spectral flux; Accidents; Educational institutions; Feature extraction; Microphones; Probability; Senior citizens; Vectors; clustering; daily sound; hazardous sound; probability modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
ISSN :
pending
Print_ISBN :
978-1-4673-2259-1
Type :
conf
Filename :
6318339
Link To Document :
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