{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T16:38:03Z","timestamp":1778344683631,"version":"3.51.4"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,1,25]],"date-time":"2025-01-25T00:00:00Z","timestamp":1737763200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,1,25]],"date-time":"2025-01-25T00:00:00Z","timestamp":1737763200000},"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":["J AUDIO SPEECH MUSIC PROC."],"DOI":"10.1186\/s13636-025-00391-9","type":"journal-article","created":{"date-parts":[[2025,1,25]],"date-time":"2025-01-25T11:40:15Z","timestamp":1737805215000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A big data dynamic approach for adaptive music instruction with deep neural fuzzy logic control"],"prefix":"10.1186","volume":"2025","author":[{"given":"Dong","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenfang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,25]]},"reference":[{"key":"391_CR1","doi-asserted-by":"publisher","first-page":"733","DOI":"10.1109\/LSP.2021.3071082","volume":"28","author":"A Ferraro","year":"2021","unstructured":"A. Ferraro, X. Favory, K. Drossos, Y. Kim, D. Bogdanov, Enriched music representations with multiple cross-modal contrastive learning. IEEE Signal Process. Lett. 28, 733\u2013737 (2021)","journal-title":"IEEE Signal Process. Lett."},{"key":"391_CR2","doi-asserted-by":"publisher","first-page":"1605","DOI":"10.1109\/TMM.2020.3001521","volume":"23","author":"YH Lin","year":"2020","unstructured":"Y.H. Lin, H.H. Chen, Tag propagation and cost-sensitive learning for music auto-tagging. IEEE Trans. Multimedia 23, 1605\u20131616 (2020)","journal-title":"IEEE Trans. Multimedia"},{"key":"391_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.nlm.2020.107206","volume":"171","author":"C Gao","year":"2020","unstructured":"C. Gao, P. Fillmore, M.K. Scullin, Classical music, educational learning, and slow wave sleep: a targeted memory reactivation experiment. Neurobiol. Learn. Mem. 171, 107206 (2020)","journal-title":"Neurobiol. Learn. Mem."},{"key":"391_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2021.103897","volume":"82","author":"Q Yang","year":"2021","unstructured":"Q. Yang, Cloud music teaching database based on OpenCL design and neural network. Microprocess. Microsyst. 82, 103897 (2021)","journal-title":"Microprocess. Microsyst."},{"key":"391_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.107851","volume":"100","author":"J Wei","year":"2022","unstructured":"J. Wei, M. Karuppiah, A. Prathik, College music education and teaching based on AI techniques. Comput. Electr. Eng. 100, 107851 (2022)","journal-title":"Comput. Electr. Eng."},{"issue":"7","key":"391_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2022.e09958","volume":"8","author":"S Sauri","year":"2022","unstructured":"S. Sauri, S. Gunara, F. Cipta, Establishing the identity of insan kamil generation through music learning activities in pesantren. Heliyon 8(7), e09958 (2022)","journal-title":"Heliyon"},{"key":"391_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115375","volume":"183","author":"IB Sassi","year":"2021","unstructured":"I.B. Sassi, S.B. Yahia, I. Liiv, MORec: at the crossroads of context-aware and multi-criteria decision making for online music recommendation. Expert Syst. Appl. 183, 115375 (2021)","journal-title":"Expert Syst. Appl."},{"key":"391_CR8","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1016\/j.comcom.2020.05.016","volume":"160","author":"J Sun","year":"2020","unstructured":"J. Sun, Research on resource allocation of vocal music teaching system based on mobile edge computing. Comput. Commun. 160, 342\u2013350 (2020)","journal-title":"Comput. Commun."},{"issue":"1","key":"391_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102409","volume":"58","author":"X Hu","year":"2021","unstructured":"X. Hu, J. Chen, Y. Wang, University students\u2019 use of music for learning and well-being: a qualitative study and design implications. Inf. Process. Manage. 58(1), 102409 (2021)","journal-title":"Inf. Process. Manage."},{"issue":"6","key":"391_CR10","doi-asserted-by":"publisher","first-page":"8367","DOI":"10.1007\/s11042-022-12110-z","volume":"81","author":"WG Assuncao","year":"2022","unstructured":"W.G. Assuncao, L.S. Piccolo, L.A. Zaina, Considering emotions and contextual factors in music recommendation: a systematic literature review. Multimedi Tools Applications 81(6), 8367\u20138407 (2022)","journal-title":"Multimedi Tools Applications"},{"issue":"20","key":"391_CR11","doi-asserted-by":"publisher","first-page":"10957","DOI":"10.1007\/s00500-022-07247-w","volume":"26","author":"Y Fu","year":"2022","unstructured":"Y. Fu, M. Zhang, M. Nawaz, M. Ali, A. Singh, Information technology-based revolution in music education using AHP and TOPSIS. Soft. Comput. 26(20), 10957\u201310970 (2022)","journal-title":"Soft. Comput."},{"key":"391_CR12","doi-asserted-by":"publisher","unstructured":"N. Shi, Y. Wang, Symmetry in computer-aided music composition system with social network analysis and artificial neural network methods. J. Ambient Intell. Humaniz. Comput. 1\u201316 (2020). https:\/\/doi.org\/10.1007\/s12652-020-02436-7","DOI":"10.1007\/s12652-020-02436-7"},{"key":"391_CR13","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s11257-019-09250-7","volume":"30","author":"F Narducci","year":"2020","unstructured":"F. Narducci, P. Basile, M. de Gemmis, P. Lops, G. Semeraro, An investigation on the user interaction modes of conversational recommender systems for the music domain. User Model. User-Adap. Inter. 30, 251\u2013284 (2020)","journal-title":"User Model. User-Adap. Inter."},{"issue":"3","key":"391_CR14","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1007\/s10643-021-01155-8","volume":"50","author":"JS Barrett","year":"2022","unstructured":"J.S. Barrett, R.E. Schachter, D. Gilbert, M. Fuerst, Best practices for preschool music education: supporting music-making throughout the day. Early Childhood Educ. J. 50(3), 385\u2013397 (2022)","journal-title":"Early Childhood Educ. J."},{"issue":"2","key":"391_CR15","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1007\/s10846-022-01604-5","volume":"105","author":"B de Souza Jeronimo","year":"2022","unstructured":"B. de Souza Jeronimo, A.P. de Albuquerque Wheler, J.P.G. de Oliveira, R. Melo, C.J. Bastos-Filho, J. Kelner, Comparing social robot embodiment for child musical education. J. Intell. Rob. Syst. 105(2), 28 (2022)","journal-title":"J. Intell. Rob. Syst."},{"issue":"1","key":"391_CR16","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1007\/BF03652064","volume":"44","author":"R Eccles","year":"2021","unstructured":"R. Eccles, J. van der Linde, M. Le Roux, D.W. Swanepoel, D. MacCutcheon, R. Ljung, The effect of music education approaches on phonological awareness and early literacy: a systematic review. Aust. J. Lang. Lit. 44(1), 46\u201360 (2021)","journal-title":"Aust. J. Lang. Lit."},{"key":"391_CR17","doi-asserted-by":"publisher","first-page":"2817","DOI":"10.1007\/s11423-020-09783-4","volume":"68","author":"E de la Mora Velasco","year":"2020","unstructured":"E. de la Mora Velasco, A. Hirumi, The effects of background music on learning: a systematic review of literature to guide future research and practice. Education Tech. Research Dev. 68, 2817\u20132837 (2020)","journal-title":"Education Tech. Research Dev."},{"key":"391_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117969","volume":"207","author":"ACM da Silva","year":"2022","unstructured":"A.C.M. da Silva, D.F. Silva, R.M. Marcacini, Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Syst. Appl. 207, 117969 (2022)","journal-title":"Expert Syst. Appl."},{"issue":"12","key":"391_CR19","doi-asserted-by":"publisher","first-page":"10183","DOI":"10.1016\/j.aej.2022.03.060","volume":"61","author":"Y Ghatas","year":"2022","unstructured":"Y. Ghatas, M. Fayek, M. Hadhoud, A hybrid deep learning approach for musical difficulty estimation of piano symbolic music. Alex. Eng. J. 61(12), 10183\u201310196 (2022)","journal-title":"Alex. Eng. J."},{"key":"391_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.learninstruc.2021.101442","volume":"74","author":"U Frischen","year":"2021","unstructured":"U. Frischen, G. Schwarzer, F. Deg\u00e9, Music lessons enhance executive functions in 6-to 7-year-old children. Learn. Instr. 74, 101442 (2021)","journal-title":"Learn. Instr."},{"key":"391_CR21","doi-asserted-by":"publisher","first-page":"106488","DOI":"10.1016\/j.asoc.2020.106488","volume":"94","author":"G Campobello","year":"2020","unstructured":"G. Campobello, D. Dell\u2019Aquila, M. Russo, A. Segreto, Neuro-genetic programming for multigenre classification of music content. Appl. Soft Comput. 94, 106488 (2020)","journal-title":"Appl. Soft Comput."},{"key":"391_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.tine.2021.100158","volume":"24","author":"T Kosokabe","year":"2021","unstructured":"T. Kosokabe, M. Mizusaki, W. Nagaoka, M. Honda, N. Suzuki, R. Naoi, Y. Moriguchi, Self-directed dramatic and music play programs enhance executive function in Japanese children. Trends in Neuroscience and Education 24, 100158 (2021)","journal-title":"Trends in Neuroscience and Education"},{"key":"391_CR23","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/s11042-020-09678-9","volume":"80","author":"D Molero","year":"2021","unstructured":"D. Molero, S. Schez-Sobrino, D. Vallejo, C. Glez-Morcillo, J. Albusac, A novel approach to learning music and piano based on mixed reality and gamification. Multimedia Tools and Applications 80, 165\u2013186 (2021)","journal-title":"Multimedia Tools and Applications"},{"issue":"8","key":"391_CR24","doi-asserted-by":"publisher","first-page":"1429","DOI":"10.3758\/s13421-020-01060-2","volume":"48","author":"G Sala","year":"2020","unstructured":"G. Sala, F. Gobet, Cognitive and academic benefits of music training with children: a multilevel meta-analysis. Mem. Cognit. 48(8), 1429\u20131441 (2020)","journal-title":"Mem. Cognit."},{"issue":"1","key":"391_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13063-022-06335-4","volume":"23","author":"Z Akbari-Chehrehbargh","year":"2022","unstructured":"Z. Akbari-Chehrehbargh, S.S. Tavafian, Impact of El-Poems study: the e-learning for postural education in music students: a randomized controlled trial protocol. Trials 23(1), 1\u20138 (2022)","journal-title":"Trials"},{"issue":"3","key":"391_CR26","doi-asserted-by":"publisher","first-page":"1375","DOI":"10.1109\/TNNLS.2020.2984665","volume":"32","author":"D Wang","year":"2020","unstructured":"D. Wang, X. Zhang, D. Yu, G. Xu, S. Deng, CAME: content-and context-aware music embedding for recommendation. IEEE Transactions on Neural Networks and Learning Systems 32(3), 1375\u20131388 (2020)","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"391_CR27","doi-asserted-by":"publisher","first-page":"108226","DOI":"10.1109\/ACCESS.2022.3213812","volume":"10","author":"H Weng","year":"2022","unstructured":"H. Weng, J. Chen, D. Wang, X. Zhang, D. Yu, Graph-based attentive sequential model with metadata for music recommendation. IEEE Access 10, 108226\u2013108240 (2022)","journal-title":"IEEE Access"},{"key":"391_CR28","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.procs.2022.10.002","volume":"208","author":"X Han","year":"2022","unstructured":"X. Han, Design of vocal music education system based on VR technology. Procedia Computer Science 208, 5\u201311 (2022)","journal-title":"Procedia Computer Science"},{"key":"391_CR29","doi-asserted-by":"publisher","first-page":"2154","DOI":"10.1016\/j.procs.2020.09.252","volume":"176","author":"D Miao","year":"2020","unstructured":"D. Miao, X. Lu, Q. Dong, D. Hong, Humming-query and reinforcement-learning based modeling approach for personalized music recommendation. Procedia Computer Science 176, 2154\u20132163 (2020)","journal-title":"Procedia Computer Science"},{"issue":"20","key":"391_CR30","doi-asserted-by":"publisher","first-page":"11063","DOI":"10.1007\/s00500-022-07401-4","volume":"26","author":"Z Hong Yun","year":"2022","unstructured":"Z. Hong Yun, Y. Alshehri, N. Alnazzawi, I. Ullah, S. Noor, N. Gohar, A decision-support system for assessing the function of machine learning and artificial intelligence in music education for network games. Soft. Comput. 26(20), 11063\u201311075 (2022)","journal-title":"Soft. Comput."},{"key":"391_CR31","doi-asserted-by":"publisher","first-page":"3087","DOI":"10.1007\/s00500-020-05364-y","volume":"25","author":"X Wen","year":"2021","unstructured":"X. Wen, Using deep learning approach and IoT architecture to build the intelligent music recommendation system. Soft. Comput. 25, 3087\u20133096 (2021)","journal-title":"Soft. Comput."},{"issue":"1","key":"391_CR32","doi-asserted-by":"publisher","first-page":"113","DOI":"10.52152\/heranca.v7i1.810","volume":"7","author":"A Li","year":"2024","unstructured":"A. Li, The historical evolution of the popularization of classical music and the development of the fusion of multiple musical styles. Heran\u00e7a 7(1), 113\u2013125 (2024)","journal-title":"Heran\u00e7a"},{"key":"391_CR33","unstructured":"A. Arockiam, Exploring the musical, cultural and social identities of young Indians learning Western classical music in India (Doctoral dissertation, The University of St Andrews). (2024)"},{"issue":"5","key":"391_CR34","doi-asserted-by":"publisher","first-page":"5241","DOI":"10.1007\/s10639-022-11353-5","volume":"28","author":"M Ouyang","year":"2023","unstructured":"M. Ouyang, Employing mobile learning in music education. Educ. Inf. Technol. 28(5), 5241\u20135257 (2023)","journal-title":"Educ. Inf. Technol."},{"key":"391_CR35","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2024.1279530","volume":"15","author":"J Liang","year":"2024","unstructured":"J. Liang, Developing emotional intelligence in a static and interactive music learning environment. Front. Psychol. 15, 1279530 (2024)","journal-title":"Front. Psychol."},{"key":"391_CR36","doi-asserted-by":"publisher","unstructured":"R. Depakkumar, S. Annamalai, in Image processing model-based kidney diseases detection system using CNN. ICIMMI 22: Proceedings of the 4th International Conference on Information Management & Machine Intelligence, vol 33 (2023), p. 1\u20134. https:\/\/doi.org\/10.1145\/3590837.3590870","DOI":"10.1145\/3590837.3590870"},{"key":"391_CR37","doi-asserted-by":"publisher","unstructured":"T.S Reddy, S. Annamalai, in A cloud-edge collaboration framework for cognitive service. ICIMMI '22: Proceedings of the 4th International Conference on Information Management & Machine Intelligence, vol 87 (2023), p. 1\u20137. https:\/\/doi.org\/10.1145\/3590837.3590924","DOI":"10.1145\/3590837.3590924"}],"container-title":["EURASIP Journal on Audio, Speech, and Music Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13636-025-00391-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13636-025-00391-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13636-025-00391-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,25]],"date-time":"2025-01-25T11:40:18Z","timestamp":1737805218000},"score":1,"resource":{"primary":{"URL":"https:\/\/asmp-eurasipjournals.springeropen.com\/articles\/10.1186\/s13636-025-00391-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,25]]},"references-count":37,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["391"],"URL":"https:\/\/doi.org\/10.1186\/s13636-025-00391-9","relation":{},"ISSN":["1687-4722"],"issn-type":[{"value":"1687-4722","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,25]]},"assertion":[{"value":"12 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 December 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 January 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":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethicas approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"4"}}