Application of Deep Learning in Vocal Music Teaching
Author:
Affiliation:
1. 1 Ruzhou Vocational and Technical College , Ruzhou , , China .
2. 2 College of Marxism , Henan University of Economics and Law , Zhengzhou , , China .
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science
Link
https://www.sciendo.com/pdf/10.2478/amns.2023.1.00457
Reference12 articles.
1. Wen, F., & Yue, Y. (2021). A study of deep learning combined with phonetic models in foreign language teaching. Wireless Personal Communications, 119(1), 275-288.
2. Ibragimovna, S. D. (2022). Forming Students’ Skills in Learning Vocal Exercises in Music Lessons. International Journal of Inclusive and Sustainable Education, 1(4), 204-208.
3. Schultebraucks, K., Yadav, V., Shalev, A. Y., Bonanno, G. A., & Galatzer-Levy, I. R. (2022). Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood. Psychological Medicine, 52(5), 957-967.
4. Torres, J. M. M., Clarkson, T., Hauschild, K. M., Luhmann, C. C., Lerner, M. D., & Riccardi, G. (2022). Facial emotions are accurately encoded in the neural signal of those with autism spectrum disorder: A deep learning approach. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7(7), 688-695.
5. Hassan, M. D., Nasret, A. N., Baker, M. R., & Mahmood, Z. S. (2021). Enhancement automatic speech recognition by deep neural networks. Periodicals of Engineering and Natural Sciences (PEN), 9(4), 921-927.
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