Affiliation:
1. Tsai Chi-Kun Academy of Music, Minjiang University, Fuzhou, China
Abstract
To improve the effect of intelligent teaching in music classrooms, this paper combines the advanced music waveform iterative reconstruction algorithm to analyze the integration and reconstruction of the music curriculum. Aiming at the problem that the projection matrix occupies a large space and takes a long time to calculate in iterative reconstruction, a fast and real-time incremental method for generating a music wave matrix is proposed. The improved method avoids the judgment and comparison calculations performed by the incremental method when calculating the length and number of each voxel that the ray passes through. The research results show that the music curriculum integration and reconstruction model based on the advanced music waveform iterative reconstruction algorithm can effectively improve the teaching effect of modern music classrooms.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference17 articles.
1. Action-sound latency and the perceived quality of digital musical instruments: Comparing professional percussionists and amateur musicians;Jack;Music Perception: An Interdisciplinary Journal,2018
2. A method and toolkit for digital musical instruments: generating ideas and prototypes;Calegario;IEEE MultiMedia,2017
3. Exploring annotations for musical pattern discovery gathered withdigital annotation tools;Tomasević;Journal of Mathematics and Music,2021
4. The computational study of musical culture through its digital traces;Serra;Acta Musicologica,2017
5. Digital Sets of Instruments in the System of Contemporary Artistic Education in Music: Socio-Cultural Aspect;Gorbunova;Journal of Critical Reviews,2020