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<p>This paper summarizes the communication methods of local music culture elements in the Internet perspective, combines the feature extraction and melody recognition of local music culture elements with Internet technology, and analyzes the communication effects and WCI values of music publics in media communication. It briefly outlines integrating local music culture elements with piano performance education, models musical features and piano notes. It analyzes the development of piano performance and education from the perspectives of teachers and students using multi-dimensional evaluation rules. Taking the famous song “Two Fountains Reflecting the Moon” as the experimental material, we analyze the dissemination effect of the works of local music culture elements played by two instruments: erhu and piano. Compared with the other public numbers, the total number of likes of Folk Song China is the highest, which is 12,494 higher than that of the music research public number, and the music works containing local music culture elements are more resonant to the public. The mean value of the piano group is “2.67”, higher than that of the erhu group “2.13”, indicating that the piano version of local musical works is likelier to be liked on the Internet. This suggests that the piano version of local music works is more straightforward to spread in the Internet environment, and its influence is more significant.</p>
</abstract>

This paper summarizes the communication methods of local music culture elements in the Internet perspective, combines the feature extraction and melody recognition of local music culture elements with Internet technology, and analyzes the communication effects and WCI values of music publics in media communication. It briefly outlines integrating local music culture elements with piano performance education, models musical features and piano notes. It analyzes the development of piano performance and education from the perspectives of teachers and students using multi-dimensional evaluation rules. Taking the famous song “Two Fountains Reflecting the Moon” as the experimental material, we analyze the dissemination effect of the works of local music culture elements played by two instruments: erhu and piano. Compared with the other public numbers, the total number of likes of Folk Song China is the highest, which is 12,494 higher than that of the music research public number, and the music works containing local music culture elements are more resonant to the public. The mean value of the piano group is “2.67”, higher than that of the erhu group “2.13”, indicating that the piano version of local musical works is likelier to be liked on the Internet. This suggests that the piano version of local music works is more straightforward to spread in the Internet environment, and its influence is more significant.

Development Countermeasures for the Integration of Local Musical Cultural Elements into Piano Performance and Education under the Perspective of the Internet

Department of Piano, Nanjing Normal University of Special Education

Applied Mathematics and Nonlinear Sciences

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

This paper summarizes the communication methods of local music culture elements in the Internet perspective, combines the feature extraction and melody...

Development Countermeasures for the Integration of Local Musical Cultural Elements into Piano Performance and Education under the Perspective of the Internet

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 05. Apr. 2024

Akzeptiert: 16. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1019

Schlüsselwörter
Melody recognition, Piano note modeling, WCI value, Local music culture

© 2024 Yanyan Lu et al., published by Sciendo

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

Development Countermeasures for the Integration of Local Musical Cultural Elements into Piano Performance and Education under the Perspective of the Internet

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 05. Apr. 2024

Akzeptiert: 16. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1019

SchlüsselwörterMelody recognition, Piano note modeling, WCI value, Local music culture

© 2024 Yanyan Lu et al., published by Sciendo

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

Schlüsselwörter
Melody recognition, Piano note modeling, WCI value, Local music culture