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Classification of Music Genre using Neural Networks with Cross-Entropy Optimization and Soft-Max Output
2015
International Journal of Computer Applications
In this paper, an abstract model to predict the genre of a music audio file is proposed (specifically a wave file).The output of the model is the probability distribution along the considered genres. A machine learning approach is employed. The adaptive learning process is modeled by neural networks with back-propagation as its learning algorithm and cross entropy as its optimization function. The emphasis is on feature extractors since the learning paradigm is well known to other applications.
doi:10.5120/21123-4013
fatcat:qvrgq7vyorbmpo37sw2n2tb6rm