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Kaiyi Long – International Journal of Web-Based Learning and Teaching Technologies, 2023
The test results show that the fast Fourier process with multiple time superposition and a dimension length of 40 is most beneficial to the accuracy of the model. The loss curve value of the convolutional recurrent network model (CRN) is much lower than the other three models. The music tone recognition model learns better. The accuracy rate value…
Descriptors: Music Education, Music Activities, Singing, Audio Equipment
Wang, Dongfang – International Journal of Web-Based Learning and Teaching Technologies, 2023
The goal is to promote the healthy and stable development of music education in China. The time-frequency sequence topology in frequency domain can improve the effect of convolution operation. Therefore, this paper applies the above algorithms to classical music education, including the recognition of classical instruments, the feature extraction…
Descriptors: Foreign Countries, Music Education, Classical Music, Musical Instruments

Mongeau, Marcel; Sankoff, David – Computers and the Humanities, 1990
Quantifies and confirms subjective impressions of similarity and differences in musical monophonic scores. Adapts concepts from sequence comparison theory and uses algorithms to define distances between any two melodies created by tone and rhythmic structure. Presents and applies a generalized algorithm for identifying locally similar portions in…
Descriptors: Algorithms, Cluster Analysis, Computer Uses in Education, Data Processing