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.
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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