Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
76 Classification of Recorded Musical Instrument Sound Using Neural Network
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The purpose of this paper is to classify automatically musical instrument sounds on the basis of a limited number of parameters. And this involves issues like feature extraction and development of classifier using the obtained features. As for feature extraction, a 5 second audio file stored in WAVE format is passed to a feature extraction function. The feature extraction function calculates more than 20 numerical features both in time-domain and frequency-domain that characterize the sample. Regarding the task of classification, we designed a two-layer Feed-Forward Neural Network (FFNN) using back-propagation training algorithm. The FFNN is trained in a supervised manner...