Acceso abierto

The Design and Development of Network Multimedia Music Teaching Based on Multiple Linear Regression Algorithm

   | 02 jun 2023

Cite

Di Liberto, G. M., Marion, G., & Shamma, S. A. (2021). The music of silence: Part II: Music listening induces imagery responses. Journal of Neuroscience, 41(35), 7449-7460. Search in Google Scholar

Lupiáñez, M., Ortiz, F. D. P., Vila, J., & Muñoz, M. A. (2022). Predictors of music performance anxiety in conservatory students. Psychology of Music, 50(4), 1005-1022. Search in Google Scholar

Irawan, D. A., Marsherina, H., & Evasari, J. (2020). Employee Performance: The Effect of Work Motivation, Work Discipline, and Job Satisfaction at one of music companies in Indonesia. Journal of Research in Business, Economics, and Education, 2(4), 710-719. Search in Google Scholar

Sarkar, R., Choudhury, S., Dutta, S., Roy, A., & Saha, S. K. (2020). Recognition of emotion in music based on deep convolutional neural network. Multimedia Tools and Applications, 79(1), 765-783. Search in Google Scholar

Battcock, A., & Schutz, M. (2022). Emotion and expertise: how listeners with formal music training use cues to perceive emotion. Psychological Research, 86(1), 66-86. Search in Google Scholar

González Sánchez, V., Żelechowska, A., & Jensenius, A. R. (2020). Analysis of the movement-inducing effects of music through the fractality of head sway during standstill. Journal of motor behavior, 52(6), 734-749. Search in Google Scholar

Touchent, K., Hammouch, Z. & Mekkaoui, T. (2020). A modified invariant subspace method for solving partial differential equations with non-singular kernel fractional derivatives. Applied Mathematics and Nonlinear Sciences, 5(2), 35-48. Search in Google Scholar

Mei, D. (2022). What does students’ experience of e-portfolios suggest. Applied Mathematics and Nonlinear Sciences, 7(2), 15-20. Search in Google Scholar

Goldman, A., Jackson, T., & Sajda, P. (2020). Improvisation experience predicts how musicians categorize musical structures. Psychology of Music, 48(1), 18-34. Search in Google Scholar

Chua, S. L., & Welch, G. F. (2021). A quantitative study of experiences impacting music teacher development. Psychology of Music, 49(3), 445-461. Search in Google Scholar

Griffiths, D., Cunningham, S., Weinel, J., & Picking, R. (2021). A multi-genre model for music emotion recognition using linear regressors. Journal of New Music Research, 50(4), 355-372. Search in Google Scholar

Belfi, A. M., Moreno, G. L., Gugliano, M., & Neill, C. (2022). Musical reward across the lifespan. Aging & Mental Health, 26(5), 932-939. Search in Google Scholar

Ben Sassi, I., & Ben Yahia, S. (2021). How does context influence music preferences: a user-based study of the effects of contextual information on users’ preferred music. Multimedia Systems, 27(2),143-160. Search in Google Scholar

Anwar, A., Waqas, A., Zain, H. M., & Kee, D. M. H. (2020). Impact of music and colour on customers’ emotional states: An experimental study of online store. Asian Journal of Business Research, 10(1), 104-125. 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