Abstract
The task of developing an assistant composer is a very interesting task, as the composer’s work is complex and creative. Lately there has been done a lot of research, devoted both to systems that help composers to write melodies and systems that generate melodies. In the case of a melody generation, the system offers a composition based on some rules embedded in it according to the musics theory, or obtained by analyzing a large number of compositions with the help of neural networks, while the assistant’s task is to offer its ideas that can help composer with creating the work of music. In this article the basic principle of interaction between the composer and the assistant, who helps with writing the melody, is considered. The melody itself can be conditionally divided into two components: the main melody (the main theme, the main idea of the work), and its accompaniment (the arrangement of the main melody). Accordingly, the composer’s assistant can help with composing both the main melody and its accompaniment. In this article we consider possible problems that the composer may encounter while composing melodies, as well as possible ways of implementing an assistant which will be able to solve them.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agostini, A., Ghisi, D.: A max library for musical notation and computer-aided composition. Comput. Music J. 39(2), 11–27 (2015)
Buravenkova, Y., Yakupov, R., Samsonovich, A., Stepanskaya, E.: Toward a virtual composer assistant. Procedia Comput. Sci. 123, 553–561 (2018)
Isowa, Y., Iino, N., Okino, S., Iizuka, Y.: A musical composition assistant system using a stochastic musical model. In: 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) (2017)
Brunner, G., Wang, Y., Wattenhofer, R., Wiesendanger, J.: JamBot: music theory aware chord based generation of polyphonic music with LSTMs. In: IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI) (2017)
Mao, H., Shin, T., Cottrell, G.: DeepJ: style-specific music generation. In: IEEE 12th International Conference on Semantic Computing (ICSC) (2018)
Herremans, D., Chew, E.: MorpheuS: automatic music generation with recurrent pattern constraints and tension profiles. In: IEEE Region 10 Conference (TENCON) (2016)
Chen, S., Maeda, Y., Takahashi, Y.: Melody oriented interactive chaotic sound generation system using music conductor gesture. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2014)
Acknowledgments
This work was supported by the Russian Science Foundation Grant #18-11-00336.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Voznenko, T.I., Samsonovich, A.V., Gridnev, A.A., Petrova, A.I. (2019). The Principle of Implementing an Assistant Composer. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research II. NEUROINFORMATICS 2018. Studies in Computational Intelligence, vol 799. Springer, Cham. https://doi.org/10.1007/978-3-030-01328-8_36
Download citation
DOI: https://doi.org/10.1007/978-3-030-01328-8_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01327-1
Online ISBN: 978-3-030-01328-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)