• 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