{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T22:58:41Z","timestamp":1776207521746,"version":"3.50.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61966033"],"award-info":[{"award-number":["61966033"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62241208"],"award-info":[{"award-number":["62241208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Xinjiang University of Finance and Economics scientific research fund project","award":["2022XGC049"],"award-info":[{"award-number":["2022XGC049"]}]},{"name":"National Natural Science Foundation of China under grant","award":["62366050"],"award-info":[{"award-number":["62366050"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1007\/s10489-024-05335-y","type":"journal-article","created":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T07:02:37Z","timestamp":1710918157000},"page":"4140-4152","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["SymforNet: application of cross-modal information correspondences based on self-supervision in symbolic music generation"],"prefix":"10.1007","volume":"54","author":[{"given":"Halidanmu","family":"Abudukelimu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jishang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunze","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1407-4230","authenticated-orcid":false,"given":"Abudukelimu","family":"Abulizi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alimujiang","family":"Yasen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,20]]},"reference":[{"key":"5335_CR1","doi-asserted-by":"crossref","unstructured":"Zhang N (2020) Zhang N (2020) Learning adversarial transformer for symbolic music generation. IEEE Trans Neural Netw Learn Syst 34(4):1754\u20131763","DOI":"10.1109\/TNNLS.2020.2990746"},{"key":"5335_CR2","doi-asserted-by":"publisher","first-page":"44617","DOI":"10.1109\/ACCESS.2022.3169744","volume":"10","author":"S Sulun","year":"2022","unstructured":"Sulun S, Davies ME, Viana P (2022) Symbolic music generation conditioned on continuous-valued emotions. IEEE Access 10:44617\u201344626","journal-title":"IEEE Access"},{"key":"5335_CR3","doi-asserted-by":"publisher","first-page":"101365","DOI":"10.1016\/j.softx.2023.101365","volume":"22","author":"C Hernandez-Olivan","year":"2023","unstructured":"Hernandez-Olivan C, Beltran JR (2023) Musicaiz: a python library for symbolic music generation, analysis and visualization. SoftwareX 22:101365","journal-title":"SoftwareX"},{"issue":"S4","key":"5335_CR4","doi-asserted-by":"publisher","first-page":"700","DOI":"10.21744\/lingcure.v5nS4.1711","volume":"5","author":"OB Solomonova","year":"2021","unstructured":"Solomonova OB, Zavgorodnia GF, Muravska OV, Chernoivanenko AD, Aleksandrova OO (2021) Interconnection of linguistics and musical art: specifics of music semantics development. Linguist Culture Rev 5(S4):700\u2013713","journal-title":"Linguist Culture Rev"},{"key":"5335_CR5","doi-asserted-by":"crossref","unstructured":"Chen T-P, Su L (2021) Attend to Chords: Improving Harmonic Analysis of Symbolic Music Using Transformer-Based Models. Trans Int Soc Music Inf Retr 4(1):1\u201314","DOI":"10.5334\/tismir.65"},{"key":"5335_CR6","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1016\/j.ins.2022.08.006","volume":"610","author":"S Baek","year":"2022","unstructured":"Baek S, Yoon G, Song J, Yoon SM (2022) Self-supervised deep geometric subspace clustering network. Inf Sci 610:235\u2013245","journal-title":"Inf Sci"},{"issue":"1","key":"5335_CR7","doi-asserted-by":"publisher","first-page":"645","DOI":"10.2991\/ijcis.d.200519.001","volume":"13","author":"AAS Gunawan","year":"2020","unstructured":"Gunawan AAS, Iman AP, Suhartono D (2020) Automatic music generator using recurrent neural network. Int J Comput Intell Syst 13(1):645\u2013654","journal-title":"Int J Comput Intell Syst"},{"key":"5335_CR8","doi-asserted-by":"crossref","unstructured":"Syarif AM, Azhari A, Suprapto S, Hastuti, K (2023) Gamelan Melody Generation Using LSTM Networks Controlled by Composition Meter Rules and Special Notes. J Adv Inf Technol 14(1):26\u201338","DOI":"10.12720\/jait.14.1.26-38"},{"issue":"7","key":"5335_CR9","doi-asserted-by":"publisher","first-page":"4543","DOI":"10.3390\/app13074543","volume":"13","author":"P Ferreira","year":"2023","unstructured":"Ferreira P, Limongi R, F\u00e1vero LP (2023) Generating music with data: application of deep learning models for symbolic music composition. Appl Sci 13(7):4543","journal-title":"Appl Sci"},{"key":"5335_CR10","doi-asserted-by":"publisher","first-page":"103303","DOI":"10.1016\/j.artint.2020.103303","volume":"286","author":"J Wu","year":"2020","unstructured":"Wu J, Liu X, Hu X, Zhu J (2020) PopMNet: generating structured pop music melodies using neural networks. Artif Intell 286:103303","journal-title":"Artif Intell"},{"issue":"9","key":"5335_CR11","doi-asserted-by":"publisher","first-page":"4773","DOI":"10.1007\/s00521-018-3849-7","volume":"32","author":"LC Yang","year":"2020","unstructured":"Yang LC, Lerch A (2020) On the evaluation of generative models in music. Neural Comput Applic 32(9):4773\u20134784","journal-title":"Neural Comput Applic"},{"key":"5335_CR12","unstructured":"Alexandraki C, Akoumianakis D, Kalochristianakis M, Zervas P (2022) MusiCoLab: towards a modular architecture for collaborative music learning. In: Proceedings of the Web Audio Conference, pp 1\u20138"},{"key":"5335_CR13","doi-asserted-by":"crossref","unstructured":"Shih Y-J, Wu S-L, Zalkow F, M\u00fcller M, Yang Y-H (2023) Theme transformer: symbolic music generation with theme-conditioned transformer. IEEE Trans Multimedia 25(3):3495\u20133508","DOI":"10.1109\/TMM.2022.3161851"},{"key":"5335_CR14","first-page":"408","volume":"35","author":"A Muhamed","year":"2021","unstructured":"Muhamed A, Li L, Shi X, Yaddanapudi S, Chi W, Jackson D, Suresh R, Lipton ZC, Smola AJ (2021) Symbolic music generation with transformer-GANs. Proc AAAI Conf Artif Intell 35:408\u2013417","journal-title":"Proc AAAI Conf Artif Intell"},{"issue":"2","key":"5335_CR15","first-page":"231","volume":"9","author":"A Kurniawati","year":"2023","unstructured":"Kurniawati A, Yuniarno EM, Suprapto YK, Soewidiatmaka ANI (2023) Automatic note generator for Javanese gamelan music accompaniment using deep learning. Int J Adv Intell Inform 9(2):231\u2013248","journal-title":"Int J Adv Intell Inform"},{"key":"5335_CR16","doi-asserted-by":"crossref","unstructured":"Hernandez-Olivan C, Beltran JR (2022) Music composition with deep learning: a review. Adv Speech Music Technol: Comput Asp Appl 25(3):25\u201350","DOI":"10.1007\/978-3-031-18444-4_2"},{"issue":"3","key":"5335_CR17","doi-asserted-by":"publisher","first-page":"357","DOI":"10.3233\/SW-210446","volume":"13","author":"P Lisena","year":"2022","unstructured":"Lisena P, Mero\u00f1o-Pe\u00f1uela A, Troncy R (2022) MIDI2vec: learning MIDI embeddings for reliable prediction of symbolic music metadata. Semant Web 13(3):357\u2013377","journal-title":"Semant Web"},{"issue":"2\u20133","key":"5335_CR18","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1080\/07494467.2022.2080455","volume":"41","author":"J Mooney","year":"2022","unstructured":"Mooney J, Green O, Williams S (2022) Instrumental, hermeneutic, and ontological indeterminacy in Hugh Davies\u2019s live electronic music. Contemp Music Rev 41(2\u20133):193\u2013215","journal-title":"Contemp Music Rev"},{"issue":"7","key":"5335_CR19","first-page":"423","volume":"15","author":"L Yang","year":"2021","unstructured":"Yang L, Mi Z, Xiao J, Li R (2021) Machine learning for music aesthetic annotation using midi format: a harmony-based classification approach. Int J Comput Inf Eng 15(7):423\u2013427","journal-title":"Int J Comput Inf Eng"},{"key":"5335_CR20","doi-asserted-by":"crossref","unstructured":"Shishido T, Fati F, Tokushige D, Ono Y, Kumazawa I (2023) Production of MusicXML from locally inclined sheetmusic photo image by using measure-based multimodal deep-learning-driven assembly method. Trans Jpn Soc Artif Intell 38(3):A\u2013MA3_1","DOI":"10.1527\/tjsai.38-3_A-MA3"},{"issue":"1","key":"5335_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1504\/IJART.2021.115763","volume":"13","author":"Y Tian","year":"2021","unstructured":"Tian Y (2021) Multi-note intelligent fusion method of music based on artificial neural network. Int J Arts Technol 13(1):1\u201317","journal-title":"Int J Arts Technol"},{"key":"5335_CR22","doi-asserted-by":"crossref","unstructured":"Yang Y, Wang L, Huang M, Zhu Q, Wang R (2022) Polarization imaging based bruise detection of nectarine by using ResNet-18 and ghost bottleneck. Postharvest Biol Technol 189(111):916","DOI":"10.1016\/j.postharvbio.2022.111916"},{"issue":"1","key":"5335_CR23","first-page":"0","volume":"7","author":"SME Debbal","year":"2021","unstructured":"Debbal SME, Mezinai F et al (2021) Pathologies cardiac discrimination using the Fast Fourir Transform (FFT) the Short Time Fourier Transforms (STFT) and the Wigner distribution (WD). Int Biol Biomed J 7(1):0","journal-title":"Int Biol Biomed J"},{"key":"5335_CR24","doi-asserted-by":"publisher","first-page":"1170","DOI":"10.1109\/LSP.2021.3086405","volume":"28","author":"F Farias","year":"2021","unstructured":"Farias F, Coelho R (2021) Blind adaptive mask to improve intelligibility of non-stationary noisy speech. IEEE Signal Process Lett 28:1170\u20131174","journal-title":"IEEE Signal Process Lett"},{"issue":"4","key":"5335_CR25","doi-asserted-by":"publisher","first-page":"2665","DOI":"10.1007\/s00330-022-09216-1","volume":"33","author":"C Chen","year":"2023","unstructured":"Chen C, Zhang T, Teng Y, Yu Y, Shu X, Zhang L, Zhao F, Xu J (2023) Automated segmentation of craniopharyngioma on MR images using U-Net-based deep convolutional neural network. Eur Radiol 33(4):2665\u20132675","journal-title":"Eur Radiol"},{"issue":"575","key":"5335_CR26","first-page":"971","volume":"11","author":"D Dalmazzo","year":"2021","unstructured":"Dalmazzo D, Waddell G, Ram\u00edrez R (2021) Applying deep learning techniques to estimate patterns of musical gesture. Front Psychol 11(575):971","journal-title":"Front Psychol"},{"key":"5335_CR27","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.patrec.2019.08.021","volume":"128","author":"J Calvo-Zaragoza","year":"2019","unstructured":"Calvo-Zaragoza J, Toselli AH, Vidal E (2019) Handwritten music recognition for mensural notation with convolutional recurrent neural networks. Pattern Recogn Lett 128:115\u2013121","journal-title":"Pattern Recogn Lett"},{"key":"5335_CR28","doi-asserted-by":"publisher","first-page":"1409","DOI":"10.1109\/TASLP.2023.3263797","volume":"31","author":"G Wu","year":"2023","unstructured":"Wu G, Liu S, Fan X (2023) The power of fragmentation: a hierarchical transformer model for structural segmentation in symbolic music generation. IEEE\/ACM Trans Audio Speech Lang Process 31:1409\u20131420","journal-title":"IEEE\/ACM Trans Audio Speech Lang Process"},{"key":"5335_CR29","doi-asserted-by":"crossref","unstructured":"Guo Y, Liu Y, Zhou T, Xu L, Zhang Q (2023) An automatic music generation and evaluation method based on transfer learning. PLoS ONE 18(5):e0283103","DOI":"10.1371\/journal.pone.0283103"},{"issue":"1","key":"5335_CR30","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1080\/17459737.2021.1953169","volume":"17","author":"R G\u00f3mez A\u00edza","year":"2023","unstructured":"G\u00f3mez A\u00edza R (2023) Symbolic dynamical scales: modes, orbitals, and transversals. J Math Music 17(1):46\u201364","journal-title":"J Math Music"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-024-05335-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-024-05335-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-024-05335-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T13:37:17Z","timestamp":1714397837000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-024-05335-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":30,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,3]]}},"alternative-id":["5335"],"URL":"https:\/\/doi.org\/10.1007\/s10489-024-05335-y","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3]]},"assertion":[{"value":"12 February 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 March 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"No potential conflict of interest was reported by the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}]}}