{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T15:21:45Z","timestamp":1778167305045,"version":"3.51.4"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:00:00Z","timestamp":1634688000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:00:00Z","timestamp":1634688000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:00:00Z","timestamp":1634688000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61903090,62076077"],"award-info":[{"award-number":["61903090,62076077"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,20]]},"DOI":"10.1109\/wcsp52459.2021.9613311","type":"proceedings-article","created":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T21:04:58Z","timestamp":1638392698000},"page":"1-6","source":"Crossref","is-referenced-by-count":7,"title":["Novel LSTM-GAN Based Music Generation"],"prefix":"10.1109","author":[{"given":"Guangwei","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuxue","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yujie","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1978802.1978809"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413671"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2011.6163930"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-014-0629-7"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639347"},{"key":"ref16","article-title":"Multiple object recognition with visual attention","author":"ba","year":"2014","journal-title":"Computer ence"},{"key":"ref17","article-title":"A first look at music composition using lstm recurrent neural networks","author":"eck","year":"2002","journal-title":"Idsia Usi Supsi Instituto Dalle Molle"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IHMSC.2019.00035"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ELTECH.2019.8839399"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24797-2_4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3424116"},{"key":"ref3","article-title":"Song from pi: A musically plausible network for pop music generation","author":"chu","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref6","article-title":"The challenge of realistic music generation: modelling raw audio at scale","volume":"31","author":"dieleman","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref5","first-page":"2672","article-title":"Generative adversarial networks","volume":"3","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref8","author":"oord","year":"2016","journal-title":"WaveNet A Generative Model for Raw Audio"},{"key":"ref7","author":"dhariwal","year":"2020","journal-title":"Jukebox A generative model for music"},{"key":"ref2","author":"li","year":"2018","journal-title":"Combining cnn and classical algorithms for music genre classification"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1613\/jair.3908"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/4360.003.0026"},{"key":"ref20","article-title":"C-rnn-gan: Continuous recurrent neural networks with adversarial training","author":"mogren","year":"0","journal-title":"Constr Learn Workshop at NIPS 2016"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461724"},{"key":"ref21","article-title":"Musegan: Multi-track sequential generative adversarial networks for symbolic music generation and accompaniment","author":"dong","year":"0","journal-title":"The 32nd AAAI Conference on Artificial Intelligence"},{"key":"ref24","article-title":"Music transformer: Generating music with long-term structure","author":"huang","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref23","article-title":"This time with feeling: learning expressive musical performance","author":"oore","year":"2018","journal-title":"Neural Computing & Applications"},{"key":"ref26","article-title":"A survey of constraint programming systems for modelling music theories","author":"anders","year":"2012","journal-title":"ACM Computing Surveys"},{"key":"ref25","article-title":"A hilbert space embedding for distributions","author":"smola","year":"0","journal-title":"International Conference on Algorithmic Learning Theory"}],"event":{"name":"2021 13th International Conference on Wireless Communications and Signal Processing (WCSP)","location":"Changsha, China","start":{"date-parts":[[2021,10,20]]},"end":{"date-parts":[[2021,10,22]]}},"container-title":["2021 13th International Conference on Wireless Communications and Signal Processing (WCSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9613136\/9613139\/09613311.pdf?arnumber=9613311","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:52:26Z","timestamp":1652201546000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9613311\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,20]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/wcsp52459.2021.9613311","relation":{},"subject":[],"published":{"date-parts":[[2021,10,20]]}}}