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

<p>This article first adopts a fuzzy mathematical analysis model and proposes a mathematical model of fuzzy characteristics of music categories. Second, the article extracts audio data characteristics and conducts music classification experiments. The article establishes a DNN-Bottleneck feature framework, extracts robust perceptual features from audio data, and then encodes to achieve fast audio perceptual hashing. Experiments verify the effect of different feature selections on the semantic space representation of music emotions and the impact on retrieval performance.</p>
</abstract>

This article first adopts a fuzzy mathematical analysis model and proposes a mathematical model of fuzzy characteristics of music categories. Second, the article extracts audio data characteristics and conducts music classification experiments. The article establishes a DNN-Bottleneck feature framework, extracts robust perceptual features from audio data, and then encodes to achieve fast audio perceptual hashing. Experiments verify the effect of different feature selections on the semantic space representation of music emotions and the impact on retrieval performance.

The Mathematical Analysis Model of Educational System in Music Courses in Colleges and Universities

Applied Mathematics and Nonlinear Sciences

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

This article first adopts a fuzzy mathematical analysis model and proposes a mathematical model of fuzzy characteristics of music categories. Second, the...

The Mathematical Analysis Model of Educational System in Music Courses in Colleges and Universities

Publié en ligne: 15 juil. 2022

Pages: 739 - 748

Reçu: 15 févr. 2022

Accepté: 17 avr. 2022

DOI: https://doi.org/10.2478/amns.2022.2.0061

Mots clés
Fuzzy mathematics, Music teaching, Music category, Music features

© 2023 Linfei Wang, published by Sciendo

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

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The Mathematical Analysis Model of Educational System in Music Courses in Colleges and Universities

Publié en ligne: 15 juil. 2022

Pages: 739 - 748

Reçu: 15 févr. 2022

Accepté: 17 avr. 2022

DOI: https://doi.org/10.2478/amns.2022.2.0061

Mots clésFuzzy mathematics, Music teaching, Music category, Music features

© 2023 Linfei Wang, published by Sciendo

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

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Mots clés
Fuzzy mathematics, Music teaching, Music category, Music features