Analysis and identification Gamelan Bonang sound spectrum

Muhammad Nur Latief; Ford Lumban Gaol; Bambang Heru Iswanto

doi:10.1109/CIMSiM.2010.78

Analysis and identification Gamelan Bonang sound spectrum

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Muhammad Nur Latief, Ford Lumban Gaol, Bambang Heru Iswanto

2010 Proceedings - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010 Conference paper Cited by 5

Abstract

In this research will show a method for sound-recognition with artificial neural network backpropagation 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 backpropagation concept. © 2010 IEEE.

Affiliations

Graduate Program in Informatics Engineering, Bina Nusantara University, Jakarta, Indonesia; Faculty of Computer Science, Bina Nusantara University, Jakarta, Indonesia; Physics Department, Universitas Negeri Jakarta, Jakarta, Indonesia

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