This work is licensed under the Creative Commons Attribution 4.0 International License.
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