Program for sound generation based on image color spectrum with using the recurrent neural network
Authors
Nikita Nikitin, Vladimir Rozaliev, Yulia Orlova
Corresponding Author
Nikita Nikitin
Available Online December 2017.
- DOI
- 10.2991/itsmssm-17.2017.48How to use a DOI?
- Keywords
- artificial neural networks, recurrent neural network, long-short term memory, Theano, TensorFlow, Lasagne, Keras, MXNet, Python, Newton correlation scheme, sampling.
- Abstract
This work is devoted to development and approbation of the program for sound generation based on image color spectrum with using the recurrent neural network. The work contains a description of the transition between color and music characteristics, the rationale for choosing and the description of a recurrent neural network. The choices of the neural network implementation technology as well as the results of the experiment are described.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Nikita Nikitin AU - Vladimir Rozaliev AU - Yulia Orlova PY - 2017/12 DA - 2017/12 TI - Program for sound generation based on image color spectrum with using the recurrent neural network BT - Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017) PB - Atlantis Press SP - 227 EP - 232 SN - 2352-538X UR - https://doi.org/10.2991/itsmssm-17.2017.48 DO - 10.2991/itsmssm-17.2017.48 ID - Nikitin2017/12 ER -