Using cognitive mapping to analyze the aesthetic value of music education in colleges and universities
In this paper, firstly, on the basis of cognitive mapping, music data are processed in four directions, namely, sound spectrum extraction, audio superposition, audio tempo, and tone intensity adjustment, and then audio sequences are sliced and diced, so that the cognitive mapping can be more focused...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.01184 |
| _version_ | 1797340655020670976 |
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| author | Kuang Xue Liu Chang |
| author_facet | Kuang Xue Liu Chang |
| author_sort | Kuang Xue |
| collection | DOAJ |
| description | In this paper, firstly, on the basis of cognitive mapping, music data are processed in four directions, namely, sound spectrum extraction, audio superposition, audio tempo, and tone intensity adjustment, and then audio sequences are sliced and diced, so that the cognitive mapping can be more focused on capturing localized useful information. Then, the BERT model is used to encode the music sequences so that the output music sequences already contain aesthetic and emotional features and the cognitive mapping-based music emotion analysis model is constructed according to the music emotion learning layer, the emotion feature aggregation layer, and the full connectivity layer, and analyzes the aesthetic value of music education in colleges and universities. According to the results, the BERT model had a difference of 0.13% on the MED dataset and 0.03% on the MTD dataset. On the mean value of the aesthetic value of traditional music, introverted personality (3.61) was higher than extroverted personality (3.52). This study has a positive effect on the cultivation of aesthetic value in music education in colleges and universities and proposes effective ways to enhance aesthetic value in college and university music teaching. |
| first_indexed | 2024-03-08T10:06:20Z |
| format | Article |
| id | doaj.art-fc78e2f6bee8437d838337d2e6ce2bde |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:06:20Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-fc78e2f6bee8437d838337d2e6ce2bde2024-01-29T08:52:40ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01184Using cognitive mapping to analyze the aesthetic value of music education in colleges and universitiesKuang Xue0Liu Chang11College of Music, Huaibei Normal University, Huaibei, Anhui, 235000, China.2Collegeof Education, Huaibei Institute of Technology, Huaibei, Anhui, 235000, China.In this paper, firstly, on the basis of cognitive mapping, music data are processed in four directions, namely, sound spectrum extraction, audio superposition, audio tempo, and tone intensity adjustment, and then audio sequences are sliced and diced, so that the cognitive mapping can be more focused on capturing localized useful information. Then, the BERT model is used to encode the music sequences so that the output music sequences already contain aesthetic and emotional features and the cognitive mapping-based music emotion analysis model is constructed according to the music emotion learning layer, the emotion feature aggregation layer, and the full connectivity layer, and analyzes the aesthetic value of music education in colleges and universities. According to the results, the BERT model had a difference of 0.13% on the MED dataset and 0.03% on the MTD dataset. On the mean value of the aesthetic value of traditional music, introverted personality (3.61) was higher than extroverted personality (3.52). This study has a positive effect on the cultivation of aesthetic value in music education in colleges and universities and proposes effective ways to enhance aesthetic value in college and university music teaching.https://doi.org/10.2478/amns.2023.2.01184cognitive mappingbert modelaudio slicingmusic affective learning layerfull connectivity layeraesthetic value97m80 |
| spellingShingle | Kuang Xue Liu Chang Using cognitive mapping to analyze the aesthetic value of music education in colleges and universities Applied Mathematics and Nonlinear Sciences cognitive mapping bert model audio slicing music affective learning layer full connectivity layer aesthetic value 97m80 |
| title | Using cognitive mapping to analyze the aesthetic value of music education in colleges and universities |
| title_full | Using cognitive mapping to analyze the aesthetic value of music education in colleges and universities |
| title_fullStr | Using cognitive mapping to analyze the aesthetic value of music education in colleges and universities |
| title_full_unstemmed | Using cognitive mapping to analyze the aesthetic value of music education in colleges and universities |
| title_short | Using cognitive mapping to analyze the aesthetic value of music education in colleges and universities |
| title_sort | using cognitive mapping to analyze the aesthetic value of music education in colleges and universities |
| topic | cognitive mapping bert model audio slicing music affective learning layer full connectivity layer aesthetic value 97m80 |
| url | https://doi.org/10.2478/amns.2023.2.01184 |
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