Abstract
This work is devoted to development and approbation of the methods for automated sound generation based on image color spectrum with using the neural networks. The work contains a description of the transition between color and music characteristics, the rationale for choosing and the description of a used neural network. The choice of the neural network implementation technology is described. It also contains the detailed description about the experiments to choose the best neural network parameters.
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This work was partially supported by RFBR and administration of Volgograd region (grants 17-07-01601, 18-07-00220, 18-47-342002, 19-47-343001, 19-47-340003, 19-47-340009).
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Nikitin, N., Rozaliev, V., Orlova, Y., Zaboleeva-Zotova, A. (2020). Automation of Musical Compositions Synthesis Process Based on Neural Networks. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19). IITI 2019. Advances in Intelligent Systems and Computing, vol 1156. Springer, Cham. https://doi.org/10.1007/978-3-030-50097-9_6
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DOI: https://doi.org/10.1007/978-3-030-50097-9_6
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