Using the multi-layer perceptron for recognizing the music genres
Автор: Soldatova Olga
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Информатика, вычислительная техника и управление
Статья в выпуске: 4-4 т.18, 2016 года.
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The article shows the results of recognizing the music genres by using the multi-layer perceptron. It describes a method to extract classifying parameters from audio files with music compositions, shows a list of characteristics used in the article. Multi-layer perceptron structure and its learning algorithm are both described. The learning error shows a dependency from a value of the learning coefficient and a number of hidden neurons. Recognizing accuracy is tested on a set of music compositions related to five different genres GTZAN containing 1000 examples.
Classifying parameters of music compositions, genres recognition, fast fourier transform, multi-layer perceptron, fast descending algorithm, backpropagation algorithm
Короткий адрес: https://sciup.org/148204777
IDR: 148204777