• DocumentCode
    2345384
  • Title

    Analysis and Identification Gamelan Bonang Sound Spectrum

  • Author

    Latief, Muhammad Nur ; Gaol, Ford Lumban ; Iswanto, Bambang Heru

  • Author_Institution
    Grad. Program in Inf. Eng., Bina Nusantara Univ., Jakarta, Indonesia
  • fYear
    2010
  • fDate
    28-30 Sept. 2010
  • Firstpage
    335
  • Lastpage
    338
  • Abstract
    In this research will show a method for sound-recognition with artificial neural network back propagation concept. The artificial neural network use sigmoid activation function to all layer. Steps to the extraction, first, divide into ten component, second do the Fast Fourier Transform, third continue with Power Spectral Density, fourth count the average. The end result show that the pattern will recognize by the Artificial Neural Network. Extraction performed, as well as Fourier transform, and also calculate the power density, and then process them with artificial neural networks, allows the system to do the identification of voice data Gamelan Bonang using In this research will show a method for sound-recognition with artificial neural network back propagation concept.
  • Keywords
    acoustic signal processing; backpropagation; fast Fourier transforms; neural nets; Gamelan Bonang sound spectrum; backpropagation neural network; fast Fourier transform; power spectral density; sigmoid activation function; sound recognition; sound spectrum analysis; sound spectrum identification; Backpropagation; Component; Fourier Transform (FT); Identification; Power Spectral Density (PSD);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-8652-6
  • Electronic_ISBN
    978-0-7695-4262-1
  • Type

    conf

  • DOI
    10.1109/CIMSiM.2010.78
  • Filename
    5701867