{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T20:44:24Z","timestamp":1793825064349,"version":"4.6.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T00:00:00Z","timestamp":1743724800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T00:00:00Z","timestamp":1743724800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-96436-2","type":"journal-article","created":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T01:43:56Z","timestamp":1743817436000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["The analysis of optimization in music aesthetic education under artificial intelligence"],"prefix":"10.1038","volume":"15","author":[{"given":"Yixuan","family":"Peng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,4,4]]},"reference":[{"issue":"5","key":"96436_CR1","doi-asserted-by":"crossref","first-page":"6068","DOI":"10.1007\/s11227-023-05704-3","volume":"80","author":"F Li","year":"2024","unstructured":"Li, F. Chord-based music generation using long short-term memory neural networks in the context of artificial intelligence[J]. J. Supercomputing. 80 (5), 6068\u20136092 (2024).","journal-title":"J. Supercomputing"},{"issue":"16","key":"96436_CR2","doi-asserted-by":"crossref","first-page":"4183","DOI":"10.1080\/10447318.2023.2209984","volume":"40","author":"P Li","year":"2023","unstructured":"Li, P. & Wang, B. Artificial intelligence in music education. Int. J. Human\u2013Computer Interact. 40(16), 4183\u20134192 (2023).","journal-title":"Int. J. Human\u2013Computer Interact."},{"issue":"4","key":"96436_CR3","doi-asserted-by":"crossref","first-page":"178","DOI":"10.52783\/jes.631","volume":"19","author":"LZL Zhang","year":"2023","unstructured":"Zhang, L. Z. L. Fusion artificial intelligence technology in music education Teaching[J]. J. Electr. Syst. 19 (4), 178\u2013195 (2023).","journal-title":"J. Electr. Syst."},{"issue":"7","key":"96436_CR4","doi-asserted-by":"crossref","first-page":"358","DOI":"10.3390\/info14070358","volume":"14","author":"R Paroiu","year":"2023","unstructured":"Paroiu, R. & Trausan-Matu, S. Measurement of music aesthetics using deep neural networks and Dissonances[J]. Information 14 (7), 358 (2023).","journal-title":"Information"},{"issue":"3\u20134","key":"96436_CR5","doi-asserted-by":"crossref","first-page":"e2163","DOI":"10.1002\/cav.2163","volume":"34","author":"F Iffath","year":"2023","unstructured":"Iffath, F. & Gavrilova, M. RAIF: A deep learning-based architecture for multi-modal aesthetic biometric system. Comput. Animat. Virtual Worlds 34(3\u20134), e2163 (2023).","journal-title":"Comput. Animat. Virtual Worlds"},{"issue":"1","key":"96436_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3597493","volume":"56","author":"S Ji","year":"2023","unstructured":"Ji, S., Yang, X. & Luo, J. A survey on deep learning for symbolic music generation: representations, algorithms, evaluations, and challenges[J]. ACM Comput. Surveys. 56 (1), 1\u201339 (2023).","journal-title":"ACM Comput. Surveys"},{"key":"96436_CR7","doi-asserted-by":"crossref","first-page":"162797","DOI":"10.1016\/j.scitotenv.2023.162797","volume":"876","author":"RK Oruganti","year":"2023","unstructured":"Oruganti, R. K. et al. Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review[J]. Sci. Total Environ. 876, 162797 (2023).","journal-title":"Sci. Total Environ."},{"issue":"5","key":"96436_CR8","doi-asserted-by":"crossref","first-page":"1785","DOI":"10.1007\/s10994-023-06309-w","volume":"112","author":"Z Yin","year":"2023","unstructured":"Yin, Z. et al. Deep learning\u2019s shallow gains: A comparative evaluation of algorithms for automatic music generation[J]. Mach. Learn. 112 (5), 1785\u20131822 (2023).","journal-title":"Mach. Learn."},{"issue":"26","key":"96436_CR9","doi-asserted-by":"crossref","first-page":"2456","DOI":"10.1056\/NEJMra2204787","volume":"388","author":"B Gomes","year":"2023","unstructured":"Gomes, B. & Ashley, E. A. Artificial intelligence in molecular medicine[J]. N. Engl. J. Med. 388 (26), 2456\u20132465 (2023).","journal-title":"N. Engl. J. Med."},{"key":"96436_CR10","doi-asserted-by":"crossref","first-page":"100009","DOI":"10.1016\/j.smse.2023.100009","volume":"2","author":"M Soori","year":"2023","unstructured":"Soori, M., Arezoo, B. & Dastres, R. Machine learning and artificial intelligence in CNC machine tools, a review[J]. Sustainable Manuf. Service Econ. 2, 100009 (2023).","journal-title":"Sustainable Manuf. Service Econ."},{"issue":"1","key":"96436_CR11","first-page":"24","volume":"7","author":"JP Bharadiya","year":"2023","unstructured":"Bharadiya, J. P. A comparative study of business intelligence and artificial intelligence with big data analytics[J]. Am. J. Artif. Intell. 7 (1), 24 (2023).","journal-title":"Am. J. Artif. Intell."},{"key":"96436_CR12","doi-asserted-by":"crossref","first-page":"17031","DOI":"10.1109\/ACCESS.2023.3244620","volume":"11","author":"L Moysis","year":"2023","unstructured":"Moysis, L. et al. Music deep learning: deep learning methods for music signal processing-a review of the state-of-the-art. IEEE Access 11, 17031\u201317052 (2023).","journal-title":"IEEE Access"},{"issue":"1","key":"96436_CR13","first-page":"556","volume":"2","author":"S Shukla","year":"2023","unstructured":"Shukla, S. Creative computing and Harnessing the power of generative artificial Intelligence[J]. J. Environ. Sci. Technol. 2 (1), 556\u2013579 (2023).","journal-title":"J. Environ. Sci. Technol."},{"key":"96436_CR14","doi-asserted-by":"crossref","first-page":"100004","DOI":"10.1016\/j.chbah.2023.100004","volume":"20","author":"A Oksanen","year":"2023","unstructured":"Oksanen, A. et al. Artificial intelligence in fine arts: A systematic review of empirical research. Comput. Hum. Behav. Artif. Hum. 20, 100004 (2023).","journal-title":"Comput. Hum. Behav. Artif. Hum."},{"issue":"2","key":"96436_CR15","first-page":"129","volume":"50","author":"A Borkowski","year":"2023","unstructured":"Borkowski, A., Vocal Aesthetics, A. I. & Imaginaries Reconfiguring Smart Interfaces[J] Afterimage, 50(2): 129\u2013149. (2023).","journal-title":"Reconfiguring Smart Interfaces[J] Afterimage"},{"issue":"10","key":"96436_CR16","doi-asserted-by":"crossref","first-page":"7017","DOI":"10.1080\/10494820.2022.2059520","volume":"31","author":"K Cui","year":"2023","unstructured":"Cui, K. Artificial intelligence and creativity: piano teaching with augmented reality applications[J]. Interact. Learn. Environ. 31 (10), 7017\u20137028 (2023).","journal-title":"Interact. Learn. Environ."},{"key":"96436_CR17","unstructured":"Huang, X. et al. Trends, Research Issues and Applications of Artificial Intelligence in Language education[J]26112\u2013131 (Educational Technology & Society, 2023). 1."},{"issue":"1","key":"96436_CR18","first-page":"42","volume":"12","author":"B Rathore","year":"2023","unstructured":"Rathore, B. Digital transformation 4.0: integration of artificial intelligence & metaverse in marketing[J]. Eduzone: Int. Peer Reviewed\/Refereed Multidisciplinary J. 12 (1), 42\u201348 (2023).","journal-title":"Eduzone: Int. Peer Reviewed\/Refereed Multidisciplinary J."},{"issue":"3","key":"96436_CR19","first-page":"811","volume":"35","author":"B Liu","year":"2023","unstructured":"Liu, B. Arguments for the rise of artificial intelligence art: does AI Art have creativity, motivation, Self-awareness and Emotion?[J]. Arte Individuo Y Sociedad. 35 (3), 811 (2023).","journal-title":"Arte Individuo Y Sociedad"},{"key":"96436_CR20","doi-asserted-by":"crossref","first-page":"38","DOI":"10.3352\/jeehp.2023.20.38","volume":"20","author":"TW Kim","year":"2023","unstructured":"Kim, T. W. Application of artificial intelligence chatbot, including ChatGPT in education, scholarly work, programming, and content generation and its prospects: a narrative review[J]. J. Educational Evaluation Health Professions. 20, 38 (2023).","journal-title":"J. Educational Evaluation Health Professions"},{"issue":"7972","key":"96436_CR21","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1038\/s41586-023-06221-2","volume":"620","author":"H Wang","year":"2023","unstructured":"Wang, H. et al. Scientific discovery in the age of artificial intelligence[J]. Nature 620 (7972), 47\u201360 (2023).","journal-title":"Nature"},{"issue":"6","key":"96436_CR22","doi-asserted-by":"crossref","first-page":"6560","DOI":"10.1007\/s11227-022-04914-5","volume":"79","author":"W Liu","year":"2023","unstructured":"Liu, W. Literature survey of multi-track music generation model based on generative confrontation network in intelligent composition[J]. J. Supercomputing. 79 (6), 6560\u20136582 (2023).","journal-title":"J. Supercomputing"},{"issue":"4","key":"96436_CR23","doi-asserted-by":"crossref","first-page":"3005","DOI":"10.1007\/s10462-022-10246-w","volume":"56","author":"E Mosqueira-Rey","year":"2023","unstructured":"Mosqueira-Rey, E. et al. Human-in-the-loop machine learning: a state of the art[J]. Artif. Intell. Rev. 56 (4), 3005\u20133054 (2023).","journal-title":"Artif. Intell. Rev."},{"issue":"4","key":"96436_CR24","first-page":"1353","volume":"101","author":"ZK Alkayyali","year":"2023","unstructured":"Alkayyali, Z. K., Idris, S. A. B. & Abu-Naser, S. S. A systematic literature review of deep and machine learning algorithms in cardiovascular diseases Diagnosis[J]. J. Theoretical Appl. Inform. Technol. 101 (4), 1353\u20131365 (2023).","journal-title":"J. Theoretical Appl. Inform. Technol."},{"issue":"8","key":"96436_CR25","doi-asserted-by":"crossref","first-page":"1789","DOI":"10.3390\/electronics12081789","volume":"12","author":"S Tufail","year":"2023","unstructured":"Tufail, S. et al. Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms[J]. Electronics 12 (8), 1789 (2023).","journal-title":"Electronics"},{"issue":"12","key":"96436_CR26","doi-asserted-by":"crossref","first-page":"1859","DOI":"10.21275\/SR231224074241","volume":"12","author":"S Ahmadi","year":"2023","unstructured":"Ahmadi, S. Optimizing data warehousing performance through machine learning algorithms in the Cloud[J]. Int. J. Sci. Res. (IJSR). 12 (12), 1859\u20131867 (2023).","journal-title":"Int. J. Sci. Res. (IJSR)"},{"issue":"3","key":"96436_CR27","doi-asserted-by":"crossref","first-page":"94","DOI":"10.3390\/ijfs11030094","volume":"11","author":"G Sonkavde","year":"2023","unstructured":"Sonkavde, G. et al. Forecasting stock market prices using machine learning and deep learning models: A systematic review, performance analysis and discussion of implications[J]. Int. J. Financial Stud. 11 (3), 94 (2023).","journal-title":"Int. J. Financial Stud."},{"issue":"2","key":"96436_CR28","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1007\/s11831-022-09841-5","volume":"30","author":"UMR Paturi","year":"2023","unstructured":"Paturi, U. M. R., Palakurthy, S. T. & Reddy, N. S. The role of machine learning in tribology: a systematic review[J]. Arch. Comput. Methods Eng. 30 (2), 1345\u20131397 (2023).","journal-title":"Arch. Comput. Methods Eng."},{"key":"96436_CR29","doi-asserted-by":"crossref","first-page":"109095","DOI":"10.1016\/j.compeleceng.2024.109095","volume":"115","author":"J Zhang","year":"2024","unstructured":"Zhang, J. et al. Public cloud networks oriented deep neural networks for effective intrusion detection in online music education[J]. Comput. Electr. Eng. 115, 109095 (2024).","journal-title":"Comput. Electr. Eng."},{"issue":"Supp01","key":"96436_CR30","doi-asserted-by":"crossref","first-page":"2141005","DOI":"10.1142\/S021926592141005X","volume":"22","author":"W Zhang","year":"2022","unstructured":"Zhang, W., Shankar, A. & Antonidoss, A. Modern Art education and teaching based on Artificial intelligence[J]. J. Interconnect. Networks. 22 (Supp01), 2141005 (2022).","journal-title":"J. Interconnect. Networks"},{"key":"96436_CR31","doi-asserted-by":"crossref","unstructured":"Dai, D. D. Artificial intelligence technology assisted music teaching design[J]. Scientific programming, 2021: 1\u201310. (2021).","DOI":"10.1155\/2021\/9141339"},{"issue":"7","key":"96436_CR32","doi-asserted-by":"crossref","first-page":"4543","DOI":"10.3390\/app13074543","volume":"13","author":"P Ferreira","year":"2023","unstructured":"Ferreira, P., Limongi, R. & F\u00e1vero, L. P. Generating music with data: application of deep learning models for symbolic music Composition[J]. Appl. Sci. 13 (7), 4543 (2023).","journal-title":"Appl. Sci."},{"key":"96436_CR33","unstructured":"Saberi-Movahed, F. et al. Deep metric learning with soft orthogonal Proxies[J]. arXiv preprint arXiv:2306.13055, 2023."},{"key":"96436_CR34","doi-asserted-by":"crossref","first-page":"100814","DOI":"10.1016\/j.entcom.2024.100814","volume":"52","author":"X Dan","year":"2025","unstructured":"Dan, X. Social robot assisted music course based on speech sensing and deep learning algorithms[J]. Entertainment Comput. 52, 100814 (2025).","journal-title":"Entertainment Comput."},{"key":"96436_CR35","doi-asserted-by":"crossref","first-page":"100779","DOI":"10.1016\/j.entcom.2024.100779","volume":"52","author":"J Fang","year":"2025","unstructured":"Fang, J. Artificial intelligence robots based on machine learning and visual algorithms for interactive experience assistance in music classrooms. Entertainment Comput., 52, 100779 (2025).","journal-title":"Entertainment Comput."},{"key":"96436_CR36","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s00371-018-1582-y","volume":"36","author":"X Li","year":"2020","unstructured":"Li, X. et al. Learning a convolutional neural network for propagation-based stereo image segmentation[J]. Visual Comput. 36, 39\u201352 (2020).","journal-title":"Visual Comput."},{"issue":"11","key":"96436_CR37","doi-asserted-by":"crossref","first-page":"4162","DOI":"10.1109\/TCSVT.2020.3046625","volume":"31","author":"X Zhang","year":"2020","unstructured":"Zhang, X. et al. Multi-level fusion and attention-guided CNN for image dehazing[J]. IEEE Trans. Circuits Syst. Video Technol. 31 (11), 4162\u20134173 (2020).","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"9","key":"96436_CR38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.heliyon.2024.e29830","volume":"10","author":"X Zhuang","year":"2024","unstructured":"Zhuang, X. et al. Artificial multi-verse optimisation for predicting the effect of ideological and political theory course. Heliyon 10(9), 1\u201314 (2024).","journal-title":"Heliyon"},{"issue":"7","key":"96436_CR39","doi-asserted-by":"crossref","first-page":"5682","DOI":"10.1109\/TCYB.2020.2981480","volume":"52","author":"L Zhang","year":"2021","unstructured":"Zhang, L. et al. Bioinspired scene classification by deep active learning with remote sensing applications[J]. IEEE Trans. Cybernetics. 52 (7), 5682\u20135694 (2021).","journal-title":"IEEE Trans. Cybernetics"}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-96436-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-96436-2","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-96436-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T06:14:14Z","timestamp":1743833654000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-96436-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,4]]},"references-count":39,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["96436"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-96436-2","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,4]]},"assertion":[{"value":"16 September 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 March 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 April 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"The studies involving human participants were reviewed and approved by College of Music, The Yeungnam University of Korea Ethics Committee (Approval Number: 2021.02039345). The participants provided their written informed consent to participate in this study. All methods were performed in accordance with relevant guidelines and regulations.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}],"article-number":"11545"}}