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

<p>In this paper, we first use CNNS to collect rich samples of folk dance music, establish a model framework and a functional system framework, and conduct a comprehensive process analysis of the music. Then, the instrumental features, frequency features, and timbre features are extracted to obtain the spectral information. In the stage of chord analysis and encoding, a multivariate chord encoding model is established based on the acquired spectral information, including two parts: chord representation preprocessing and chord encoding. By utilizing this model, the chord structure of music was successfully and accurately encoded, allowing for analysis with up to 98% accuracy. Furthermore, significant recall results were achieved, reaching over 0.9, which suggests that the extracted chord features are highly reliable and accurate in recognizing musical chord information.</p>
</abstract>

In this paper, we first use CNNS to collect rich samples of folk dance music, establish a model framework and a functional system framework, and conduct a comprehensive process analysis of the music. Then, the instrumental features, frequency features, and timbre features are extracted to obtain the spectral information. In the stage of chord analysis and encoding, a multivariate chord encoding model is established based on the acquired spectral information, including two parts: chord representation preprocessing and chord encoding. By utilizing this model, the chord structure of music was successfully and accurately encoded, allowing for analysis with up to 98% accuracy. Furthermore, significant recall results were achieved, reaching over 0.9, which suggests that the extracted chord features are highly reliable and accurate in recognizing musical chord information.

Multiple Chord Coding in China’s Minority Dance Music

Chengdu Vocational University of the Arts

Applied Mathematics and Nonlinear Sciences

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

{"article-title":"Multiple Chord Coding in China\u2019s Minority Dance Music"}

In this paper, we first use CNNS to collect rich samples of folk dance music, establish a model framework and a functional system framework, and conduct a...

Multiple Chord Coding in China’s Minority Dance Music

Online veröffentlicht: 11. Dez. 2023

Seitenbereich: -

Eingereicht: 28. Feb. 2023

Akzeptiert: 21. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01440

Schlüsselwörter
Folk dance music, Frequency features, Spectral information, Multivariate chord coding, Recall

© 2023 Xiaowen Wu et al., published by Sciendo

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

Multiple Chord Coding in China’s Minority Dance Music

Online veröffentlicht: 11. Dez. 2023

Seitenbereich: -

Eingereicht: 28. Feb. 2023

Akzeptiert: 21. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01440

SchlüsselwörterFolk dance music, Frequency features, Spectral information, Multivariate chord coding, Recall

© 2023 Xiaowen Wu et al., published by Sciendo

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

Schlüsselwörter
Folk dance music, Frequency features, Spectral information, Multivariate chord coding, Recall