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
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);
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
DOI :
10.1109/CIMSiM.2010.78