{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:57:03Z","timestamp":1773932223832,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1109\/tnnls.2023.3248793","type":"journal-article","created":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T19:06:42Z","timestamp":1678216002000},"page":"11128-11141","source":"Crossref","is-referenced-by-count":8,"title":["RL-Chord: CLSTM-Based Melody Harmonization Using Deep Reinforcement Learning"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9908-136X","authenticated-orcid":false,"given":"Shulei","family":"Ji","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5117-4914","authenticated-orcid":false,"given":"Xinyu","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7138-3705","authenticated-orcid":false,"given":"Jing","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5463-2068","authenticated-orcid":false,"given":"Juan","family":"Li","sequence":"additional","affiliation":[{"name":"Music Education Center, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70163-9"},{"key":"ref2","article-title":"A comprehensive survey on deep music generation: Multi-level representations, algorithms, evaluations, and future directions","author":"Ji","year":"2020","journal-title":"arXiv:2011.06801"},{"issue":"4","key":"ref3","article-title":"Generating long-term structure in songs and stories","volume":"15","author":"Waite","year":"2016","journal-title":"Web Blog Post. Magenta"},{"key":"ref4","first-page":"4364","article-title":"A hierarchical latent vector model for learning long-term structure in music","volume-title":"Proc. 35th Int. Conf. Mach. Learn. (ICML)","author":"Roberts"},{"key":"ref5","first-page":"1362","article-title":"DeepBach: A steerable model for bach chorales generation","volume-title":"Proc. 34th Int. Conf. Mach. Learn. (ICML)","author":"Hadjeres"},{"key":"ref6","first-page":"311","article-title":"Coupled recurrent models for polyphonic music composition","volume-title":"Proc. 20th Int. Soc. Music Inf. Retr. Conf., ISMIR","author":"Thickstun"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11312"},{"key":"ref8","first-page":"655","article-title":"BandNet: A neural network-based, multi-instrument beatles-style MIDI music composition machine","volume-title":"Proc. 20th Int. Soc. Music Inf. Retr. Conf. (ISMIR)","author":"Zhou"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/09298215.2021.1873392"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2018.00114"},{"key":"ref11","first-page":"621","article-title":"Chord generation from symbolic melody using BLSTM networks","volume-title":"Proc. 18th Int. Soc. Music Inf. Retr. Conf. (ISMIR)","author":"Lim"},{"key":"ref12","first-page":"1","article-title":"Sequence level training with recurrent neural networks","volume-title":"Proc. 4th Int. Conf. Learn. Represent. (ICLR)","author":"Ranzato"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1137"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1353"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2975035"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2929141"},{"key":"ref17","first-page":"1666","article-title":"Synthesizing programs for images using reinforced adversarial learning","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Ganin"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"ref19","first-page":"1","article-title":"Tuning recurrent neural networks with reinforcement learning","volume-title":"Proc. 5th Int. Conf. Learn. Represent. Workshop","author":"Jaques"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5413"},{"key":"ref21","first-page":"16258","article-title":"When counterpoint meets Chinese folk melodies","volume-title":"Proc. Adv. Neural Inf. Proces. Syst.","volume":"33","author":"Jiang"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2018.8554901"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414281"},{"key":"ref24","first-page":"596","article-title":"Deep music analogy via latent representation disentanglement","volume-title":"Proc. 20th Int. Soc. Music Inf. Retr. Conf. (ISMIR)","author":"Yang"},{"key":"ref25","first-page":"833","article-title":"Accomontage: Accompaniment arrangement via phrase selection and style transfer","volume-title":"Proc. 22nd Int. Soc. Music Inf. Retr. Conf. (ISMIR)","author":"Zhao"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2020.2990746"},{"key":"ref27","first-page":"368","article-title":"PIANOTREE VAE: Structured representation learning for polyphonic music","volume-title":"Proc. 21st Int. Soc. Music Inf. Retr. Conf. (ISMIR)","author":"Wang"},{"key":"ref28","first-page":"828","article-title":"BEBOPNET: Deep neural models for personalized jazz improvisations","volume-title":"Proc. 21st Int. Soc. Music Inf. Retr. Conf. (ISMIR)","author":"Hakimi"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16091"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE-TW.2016.7520919"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1357054.1357169"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2004.1394380"},{"key":"ref33","first-page":"145","article-title":"Interactive arrangement of chords and melodies based on a tree-structured generative model","volume-title":"Proc. 19th Int. Soc. Music Inf. Retr. Conf. (ISMIR)","author":"Tsushima"},{"key":"ref34","first-page":"211","article-title":"Counterpoint by convolution","volume-title":"Proc. 18th Int. Soc. Music Inf. Retr. Conf. (ISMIR)","author":"Huang"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-020-10241-8"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00643"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.244"},{"issue":"3","key":"ref38","first-page":"7","article-title":"Large-margin softmax loss for convolutional neural networks","volume-title":"Proc. 37th Int. Conf. Machin. Learn. (ICML)","volume":"2","author":"Liu"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24261-3_7"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"ref43","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","volume-title":"Proc. 33rd Int. Conf. Mach. Learn. (ICML)","author":"Wang"},{"key":"ref44","first-page":"1","article-title":"Noisy networks for exploration","volume-title":"Proc. 6th Int. Conf. Learn. Represent. (ICLR)","author":"Fortunato"},{"key":"ref45","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref46","first-page":"1","article-title":"High-dimensional continuous control using generalized advantage estimation","volume-title":"Proc. 4th Int. Conf. Learn. Represent. (ICLR)","author":"Schulman"},{"key":"ref47","volume-title":"Theory of Harmony","author":"Schoenberg","year":"1978"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1986.1169179"},{"key":"ref49","volume-title":"The Musical Idea and the Logic, Technique and Art of Its Presentation","author":"Schoenberg","year":"2006"},{"key":"ref50","first-page":"1889","article-title":"Trust region policy optimization","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Schulman"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2014.09.005"},{"key":"ref52","volume-title":"Music in Theory and Practice","author":"Benward","year":"2008"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10623582\/10063204.pdf?arnumber=10063204","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T10:24:41Z","timestamp":1722939881000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10063204\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":52,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3248793","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8]]}}}