Abstract
The purpose of this paper is to use restricted Boltzmann algorithm for creating a neural network with deep belief. In the results obtained, 2 and 3 classification of classes tend to be similar for deep neural network along with small datasets of conventional versions. The expectation was that deep learning would surpass in terms of performance. Improvement has been seen in terms of accuracy and performance, when more dataset is generated from the limited stock of primary audio track abstract.
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Taunk, D., Patel, M. (2021). Hybrid Restricted Boltzmann Algorithm for Audio Genre Classification. In: Sheth, A., Sinhal, A., Shrivastava, A., Pandey, A.K. (eds) Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-2248-9_11
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DOI: https://doi.org/10.1007/978-981-16-2248-9_11
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