{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T15:54:15Z","timestamp":1780674855789,"version":"3.54.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"publisher","award":["62101503"],"award-info":[{"award-number":["62101503"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017700","name":"Science and Technology Project of Henan Province","doi-asserted-by":"publisher","award":["242102211017"],"award-info":[{"award-number":["242102211017"]}],"id":[{"id":"10.13039\/501100017700","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Special Program of National Natural Science Foundation of China","award":["T2341003"],"award-info":[{"award-number":["T2341003"]}]},{"name":"Major program of National Social Science Fund of China","award":["21ZD19"],"award-info":[{"award-number":["21ZD19"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Soc. Syst."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tcss.2024.3486604","type":"journal-article","created":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T18:46:28Z","timestamp":1732041988000},"page":"862-872","source":"Crossref","is-referenced-by-count":7,"title":["Hybrid Learning Module-Based Transformer for Multitrack Music Generation With Music Theory"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8258-6206","authenticated-orcid":false,"given":"Yun","family":"Tie","sequence":"first","affiliation":[{"name":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4153-4642","authenticated-orcid":false,"given":"Xin","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9160-8875","authenticated-orcid":false,"given":"Donghui","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3934-4236","authenticated-orcid":false,"given":"Jiessie","family":"Tie","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Toronto, Toronto, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4558-6741","authenticated-orcid":false,"given":"Lin","family":"Qi","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9394-8587","authenticated-orcid":false,"given":"Yuhang","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican0256-77"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.1957.5222016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-72116-9_16"},{"key":"ref4","first-page":"4352","article-title":"Adversarial generation of time-frequency features with application in audio synthesis","volume-title":"Int. Conf. Mach. Learn.","author":"Marafioti","year":"2019"},{"key":"ref5","article-title":"Jukebox: A Generative Model for Music","author":"Dhariwal","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403249"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i11.26530"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2307\/3679551"},{"issue":"4","key":"ref9","article-title":"Generating long-term structure in songs and stories","volume":"15","author":"Waite","year":"2016","journal-title":"Web blog post. Magenta"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3868-4"},{"key":"ref11","article-title":"Music transcription modelling and composition using deep learning","author":"Sturm","year":"2016"},{"key":"ref12","first-page":"16","article-title":"Performance RNN: Generating music with expressive timing and dynamics","volume-title":"Magenta Blog","author":"Simon","year":"2017"},{"key":"ref13","article-title":"Pianotree VAE: Structured representation learning for polyphonic music","author":"Wang","year":"2020"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3161851"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55750-2_9"},{"key":"ref16","article-title":"Chord generation from symbolic melody using BLSTM networks","author":"Lim","year":"2017"},{"key":"ref17","article-title":"Bandnet: A neural network-based, multi-instrument beatles-style midi music composition machine","author":"Zhou","year":"2018"},{"key":"ref18","article-title":"Musenet","volume":"3","author":"Payne","year":"2019","journal-title":"OpenAI Blog"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413721"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.70"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1007\/3-540-44812-8_18","article-title":"Magenta: An architecture for real time automatic composition of background music","volume-title":"Int. Workshop Intell. Virtual Agents","author":"Casella","year":"2001"},{"key":"ref22","first-page":"1362","article-title":"Deepbach: A steerable model for bach chorales generation","volume-title":"Int. Conf. Mach. Learn.","author":"Hadjeres","year":"2017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2953194"},{"key":"ref24","article-title":"Wavenet: A generative model for raw audio","author":"Oord","year":"2016"},{"key":"ref25","article-title":"Music transformer","author":"Huang","year":"2018"},{"key":"ref26","article-title":"Lakhnes: Improving multi-instrumental music generation with cross-domain pre-training","author":"Donahue","year":"2019"},{"key":"ref27","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Adv. Neur. Inf. Process. Syst."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1127"},{"key":"ref29","article-title":"C-RNN-GAN: Continuous recurrent neural networks with adversarial training","author":"Mogren","year":"2016"},{"key":"ref30","article-title":"Midinet: A convolutional generative adversarial network for symbolic-domain music generation","author":"Yang","year":"2017"},{"issue":"1","key":"ref31","article-title":"MuseGAN: Multi-track sequential generative adversarial networks for symbolic music generation and accompaniment","volume-title":"Proc. AAAI Conf. Artif. Intell.","volume":"32","author":"Dong","year":"2018"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852291"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2990746"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16117"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref37","article-title":"MMM: Exploring conditional multi-track music generation with the transformer","author":"Ens","year":"2020"},{"key":"ref38","article-title":"Midi-sandwich2: RNN-based hierarchical multi-modal fusion generation VAE networks for multi-track symbolic music generation","author":"Liang","year":"2019"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054554"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-01333-1_29"},{"key":"ref41","article-title":"Objective-reinforced generative adversarial networks (organ) for sequence generation models","author":"Guimaraes","year":"2017"},{"key":"ref42","first-page":"1645","article-title":"Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control","volume-title":"Int. Conf. Mach. Learn.","author":"Jaques","year":"2017"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3248793"},{"issue":"1","key":"ref44","first-page":"1","article-title":"A novel Xi\u2019an drum music generation method based on Bi-LSTM deep reinforcement learning","volume":"54","author":"Li","year":"2023","journal-title":"Appl. Intell."},{"key":"ref45","first-page":"971","article-title":"DJ-agent: Music theory directed a cappella accompaniment generation using deep reinforcement learning","volume-title":"Proc. 5th Int. Conf. Comput. Inf. Sci. Artif. Intell. (CISAI)","volume":"12566","author":"Jiang","year":"2023"},{"issue":"3","key":"ref46","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1049\/cit2.12065","article-title":"A transformer generative adversarial network for multi-track music generation","volume":"7","author":"Jin","year":"2022","journal-title":"CAAI Trans. Intell. Technol."},{"key":"ref47","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1007\/978-3-030-43887-6_38","article-title":"Rhythm, chord and melody generation for lead sheets using recurrent neural networks","volume-title":"Mach. Learn. Knowl. Discov. Databases: Int. Workshops (ECML PKDD), W\u00fcrzburg, Germany, September 16\u201320, 2019, Proc., Part II","author":"Boom","year":"2020"},{"key":"ref48","article-title":"Learning-based methods for comparing sequences, with applications to audio-to-MIDI alignment and matching","author":"Raffel","year":"2016"},{"key":"ref49","first-page":"1180","article-title":"Pop music transformer: Beat-based modeling and generation of expressive pop piano compositions","volume-title":"Proc. 28th ACM Int. Conf. Multimedia","author":"Huang","year":"2020"},{"key":"ref50","volume-title":"A geometry of music: Harmony and counterpoint in the extended common practice","author":"Tymoczko","year":"2010"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.2316\/p.2010.674-008"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/618"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3849-7"},{"key":"ref54","article-title":"Transformer-XL based music generation with multiple sequences of time-valued notes","author":"Wu","year":"2020"}],"container-title":["IEEE Transactions on Computational Social Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6570650\/10948539\/10758307.pdf?arnumber=10758307","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T20:41:17Z","timestamp":1743799277000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10758307\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":54,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcss.2024.3486604","relation":{},"ISSN":["2329-924X","2373-7476"],"issn-type":[{"value":"2329-924X","type":"electronic"},{"value":"2373-7476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}