Classiication of Musical Instrument Sounds Using Neural Networks
نویسنده
چکیده
This study introduces the classiication of musical instrument sounds by artiicial neural networks (ANN). The time varying spectral contents of sounds are estimated based on Short-time Fourier Transform (STFT) and are applied to ANN structures for classiication. Recognition results obtained from a multilayer perceptron (MLP), time delay neural network (TDNN) and a hybrid self organizing map radial basis function network (SOM-RBF) are presented and compared .
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