<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Under the development needs of the times, cultivating students’ ability to master rhythms is crucial to improving the quality of English talent cultivation. The vocal rhythm teaching method is used to establish an optimization model for music teaching in colleges and universities in this paper. In this teaching model, a real-time music beat recognition method combining music styles is proposed based on recurrent neural network and long and short-term memory neural network, and the feature fusion of mutual attention mechanism is utilized to carry out emotion recognition of multimodal music, to accurately control the music learning effect of students. Concerning the effectiveness of the optimization model of music teaching in colleges and universities, it is applied to the teaching practice, and the data are quantitatively analyzed in terms of music recognition ability and teaching effect. The results show that the recognition rate of the multimodal music emotion recognition method for 10 kinds of emotion categories of folk songs reaches up to 0.98, and the mean value of the final music literacy assessment scores of the experimental class after the experiment is increased by 2.89-3.38 points compared with that before the experiment, and the positive classroom mood shows a very significant difference at the level of 5%. The application of the optimization mode of college music teaching based on vocal rhythmic teaching methods in the practical teaching of music courses can cultivate students’ interest in music, help students improve their aesthetic level, and promote their overall development.</p>
</abstract>

Under the development needs of the times, cultivating students’ ability to master rhythms is crucial to improving the quality of English talent cultivation. The vocal rhythm teaching method is used to establish an optimization model for music teaching in colleges and universities in this paper. In this teaching model, a real-time music beat recognition method combining music styles is proposed based on recurrent neural network and long and short-term memory neural network, and the feature fusion of mutual attention mechanism is utilized to carry out emotion recognition of multimodal music, to accurately control the music learning effect of students. Concerning the effectiveness of the optimization model of music teaching in colleges and universities, it is applied to the teaching practice, and the data are quantitatively analyzed in terms of music recognition ability and teaching effect. The results show that the recognition rate of the multimodal music emotion recognition method for 10 kinds of emotion categories of folk songs reaches up to 0.98, and the mean value of the final music literacy assessment scores of the experimental class after the experiment is increased by 2.89-3.38 points compared with that before the experiment, and the positive classroom mood shows a very significant difference at the level of 5%. The application of the optimization mode of college music teaching based on vocal rhythmic teaching methods in the practical teaching of music courses can cultivate students’ interest in music, help students improve their aesthetic level, and promote their overall development.

Practical Teaching of College Music Courses Based on Vocal Rhythmic Pedagogy

Applied Mathematics and Nonlinear Sciences

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

{"article-title":"Practical Teaching of College Music Courses Based on Vocal Rhythmic Pedagogy"}

Under the development needs of the times, cultivating students’ ability to master rhythms is crucial to improving the quality of English talent cultivation....

Practical Teaching of College Music Courses Based on Vocal Rhythmic Pedagogy

Data publikacji: 31 sty 2024

Zakres stron: -

Otrzymano: 26 gru 2023

Przyjęty: 31 gru 2023

DOI: https://doi.org/10.2478/amns-2024-0287

Słowa kluczowe
Long and short-term memory, Musical beat recognition, Mutual attention mechanism, Sonority rhythm, Music teaching

© 2024 Yuhong He, published by Sciendo

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

Practical Teaching of College Music Courses Based on Vocal Rhythmic Pedagogy

Data publikacji: 31 sty 2024

Zakres stron: -

Otrzymano: 26 gru 2023

Przyjęty: 31 gru 2023

DOI: https://doi.org/10.2478/amns-2024-0287

Słowa kluczoweLong and short-term memory, Musical beat recognition, Mutual attention mechanism, Sonority rhythm, Music teaching

© 2024 Yuhong He, published by Sciendo

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

Słowa kluczowe
Long and short-term memory, Musical beat recognition, Mutual attention mechanism, Sonority rhythm, Music teaching