Research on the Innovation and Practical Path of Talent Training Model in Musicology Industry Based on AIGC
With the rapid development of Artificial Intelligence Generated Content (AIGC) technology, the creative methods, dissemination forms, and industrial ecology of the music industry have undergone profound changes. AIGC technology relies on deep learning and big data analysis to efficiently generate mu...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/04/shsconf_messd2025_02034.pdf |
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| _version_ | 1849735616825131008 |
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| author | Wu Pengcheng Pei Mengqi |
| author_facet | Wu Pengcheng Pei Mengqi |
| author_sort | Wu Pengcheng |
| collection | DOAJ |
| description | With the rapid development of Artificial Intelligence Generated Content (AIGC) technology, the creative methods, dissemination forms, and industrial ecology of the music industry have undergone profound changes. AIGC technology relies on deep learning and big data analysis to efficiently generate music works, meet personalized needs, and promote the deep integration of the music industry with fields such as film, television, and gaming. However, the traditional talent cultivation model in musicology is difficult to adapt to the new requirements of this technological change on the industry, exposing problems such as outdated curriculum design, weak practical links, insufficient teacher level, and insufficient collaboration with the industry. This article takes AIGC technology as the starting point, comprehensively analyzes its driving role in the music industry and changes in talent demand, and combines the pain points in current music education to propose an innovative training model and practical path based on AIGC, including optimizing the curriculum system, strengthening technical practice, building a collaborative mechanism between industry, academia, and research, and enhancing internationalization level. Through the deep integration of theory and practice, this article aims to explore music talent cultivation methods that meet the needs of the new era, provide feasible references for the digital transformation and high-quality development of the music industry, and also provide theoretical support and practical guidance for the reform of music education in universities, promoting the deep integration of technology and art. |
| format | Article |
| id | doaj-art-96e9524c77df48c784ce838ea8885395 |
| institution | DOAJ |
| issn | 2261-2424 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | SHS Web of Conferences |
| spelling | doaj-art-96e9524c77df48c784ce838ea88853952025-08-20T03:07:31ZengEDP SciencesSHS Web of Conferences2261-24242025-01-012130203410.1051/shsconf/202521302034shsconf_messd2025_02034Research on the Innovation and Practical Path of Talent Training Model in Musicology Industry Based on AIGCWu Pengcheng0Pei Mengqi1Shanxi Youth Vocational CollegeTaiyuan Boda SchoolWith the rapid development of Artificial Intelligence Generated Content (AIGC) technology, the creative methods, dissemination forms, and industrial ecology of the music industry have undergone profound changes. AIGC technology relies on deep learning and big data analysis to efficiently generate music works, meet personalized needs, and promote the deep integration of the music industry with fields such as film, television, and gaming. However, the traditional talent cultivation model in musicology is difficult to adapt to the new requirements of this technological change on the industry, exposing problems such as outdated curriculum design, weak practical links, insufficient teacher level, and insufficient collaboration with the industry. This article takes AIGC technology as the starting point, comprehensively analyzes its driving role in the music industry and changes in talent demand, and combines the pain points in current music education to propose an innovative training model and practical path based on AIGC, including optimizing the curriculum system, strengthening technical practice, building a collaborative mechanism between industry, academia, and research, and enhancing internationalization level. Through the deep integration of theory and practice, this article aims to explore music talent cultivation methods that meet the needs of the new era, provide feasible references for the digital transformation and high-quality development of the music industry, and also provide theoretical support and practical guidance for the reform of music education in universities, promoting the deep integration of technology and art.https://www.shs-conferences.org/articles/shsconf/pdf/2025/04/shsconf_messd2025_02034.pdf |
| spellingShingle | Wu Pengcheng Pei Mengqi Research on the Innovation and Practical Path of Talent Training Model in Musicology Industry Based on AIGC SHS Web of Conferences |
| title | Research on the Innovation and Practical Path of Talent Training Model in Musicology Industry Based on AIGC |
| title_full | Research on the Innovation and Practical Path of Talent Training Model in Musicology Industry Based on AIGC |
| title_fullStr | Research on the Innovation and Practical Path of Talent Training Model in Musicology Industry Based on AIGC |
| title_full_unstemmed | Research on the Innovation and Practical Path of Talent Training Model in Musicology Industry Based on AIGC |
| title_short | Research on the Innovation and Practical Path of Talent Training Model in Musicology Industry Based on AIGC |
| title_sort | research on the innovation and practical path of talent training model in musicology industry based on aigc |
| url | https://www.shs-conferences.org/articles/shsconf/pdf/2025/04/shsconf_messd2025_02034.pdf |
| work_keys_str_mv | AT wupengcheng researchontheinnovationandpracticalpathoftalenttrainingmodelinmusicologyindustrybasedonaigc AT peimengqi researchontheinnovationandpracticalpathoftalenttrainingmodelinmusicologyindustrybasedonaigc |