Acceso abierto

Research on multi-system interactive pop music composition based on artificial intelligence technology

 y    | 28 oct 2023

Cite

Keller, D., & Lazzarini, V. (2017). Ecologically grounded creative practices in ubiquitous music. Organised Sound, 22(01), 61-72. Search in Google Scholar

Demorest, S. M., Kelley, J., & Pfordresher, P. Q. (2017). Singing ability, musical self-concept, and future music participation. Journal of Research in Music Education, 64(4), 405-420. Search in Google Scholar

Nazario, L., Ultramari, L. R., & Pacce, B. (2021). The production of broad and strict senses in the discourse on musical creativity and their influences on the self-concept of musicians as creative. Psychology of Music, 49(6), 1686-1700. Search in Google Scholar

Goto, M. & Dannenberg, R. B. (2018). Music interfaces based on automatic music signal analysis: new ways to create and listen to music. IEEE Signal Processing Magazine, 36(1), 74-81. Search in Google Scholar

Neilsen, T. B., Vongsawad, C. T., & Onwubiko, S. G. (2020). Teaching musical acoustics with simple models and active learning. The Journal of the Acoustical Society of America, 148(4), 2528-2528. Search in Google Scholar

Cronenberg, S. (2018). Teaching general music to young adolescents: findings from a survey of music teacher perspectives. International Journal of Music Education, 37(4), 025576141879472. Search in Google Scholar

Espeland, S. & Stige, B. (2021). Teaching repertoires and pedagogical improvisation in music teacher practices. British Journal of Music Education, 1-12. Search in Google Scholar

Hassabis, D., Kumaran, D., Summerfield, C., & Botvinick, M. (2017). Neuroscience-inspired artificial intelligence. Neuron, 95(2), 245-258. Search in Google Scholar

Rongpeng, Li, Zhifeng, Zhao, Xuan, & Zhou, et al. (2017). Intelligent 5g: when cellular networks meet artificial intelligence. IEEE Wireless Communications, 24(5), 175-183. Search in Google Scholar

Ma, X. (2021). Analysis on the application of multimedia-assisted music teaching based on ai technology. Advances in multimedia, (Pt.1), 2021. Search in Google Scholar

Zhang, C., & Li, H. (2022). Adoption of artificial intelligence along with gesture interactive robot in musical perception education based on deep learning method. International Journal of Humanoid Robotics, 19(03). Search in Google Scholar

Liu, X. (2021). An improved particle swarm optimization-powered adaptive classification and migration visualization for music style. Complexity, 2021, 1-10. Search in Google Scholar

Li, F. (2017). Study on the interactive creation of computer assisted music teaching. Boletin Tecnico/Technical Bulletin, 55(14), 685-691. Search in Google Scholar

Liu, J. & Chen, J. (2017). Research on electronic music creation and arrangement based on computer aided platform. Boletin Tecnico/technical Bulletin, 55(15), 327-332. Search in Google Scholar

Zhang, Y., & Li, Z. (2021). Automatic synthesis technology of music teaching melodies based on recurrent neural network. Scientific programming, (Pt.13), 2021. Search in Google Scholar

Weng, S. S, & Chen, H. C. (2020). Exploring the role of deep learning technology in the sustainable development of the music production industry. Sustainability, 12(2), 625. Search in Google Scholar

Buravenkova, Y. Yakupov, R. Samsonovich, A. V. & Stepanskaya, E. (2018). Toward a virtual composer assistant. Procedia Computer Science, 123, 553-561. Search in Google Scholar

eISSN:
2444-8656
Idioma:
Inglés
Calendario de la edición:
Volume Open
Temas de la revista:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics