{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:38:08Z","timestamp":1772908688587,"version":"3.50.1"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"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":[],"published-print":{"date-parts":[[2021,6,6]]},"DOI":"10.1109\/icassp39728.2021.9414281","type":"proceedings-article","created":{"date-parts":[[2021,5,13]],"date-time":"2021-05-13T15:53:45Z","timestamp":1620921225000},"page":"4145-4149","source":"Crossref","is-referenced-by-count":12,"title":["Melody Harmonization Using Orderless Nade, Chord Balancing, and Blocked Gibbs Sampling"],"prefix":"10.1109","author":[{"given":"Chung-En","family":"Sun","sequence":"first","affiliation":[{"name":"Academia Sinica,Institute of Information Science,Taiwan"}]},{"given":"Yi-Wei","family":"Chen","sequence":"additional","affiliation":[{"name":"Academia Sinica,Institute of Information Science,Taiwan"}]},{"given":"Hung-Shin","family":"Lee","sequence":"additional","affiliation":[{"name":"Academia Sinica,Institute of Information Science,Taiwan"}]},{"given":"Yen-Hsing","family":"Chen","sequence":"additional","affiliation":[{"name":"Academia Sinica,Institute of Information Science,Taiwan"}]},{"given":"Hsin-Min","family":"Wang","sequence":"additional","affiliation":[{"name":"Academia Sinica,Institute of Information Science,Taiwan"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"hochreiter","year":"1997","journal-title":"J Neural Computation"},{"key":"ref11","article-title":"Functional harmony recognition of symbolic music data with multi-task recurrent neural networks","author":"chen","year":"2018","journal-title":"Proc ISMIR"},{"key":"ref12","article-title":"Automatic melody harmonization with triad chords: A comparative study","author":"yeh","year":"2020"},{"key":"ref13","article-title":"A deep and tractable density estimator","author":"uria","year":"2014","journal-title":"Proc ICML"},{"key":"ref14","first-page":"1","article-title":"Neural autoregressive distribution estimation","volume":"17","author":"uria","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44845-8_21"},{"key":"ref16","article-title":"Counterpoint by convolution","author":"huang","year":"2017","journal-title":"Proc ISMIR"},{"key":"ref17","article-title":"The Bach doodle: Approachable music composition with machine learning at scale","author":"huang","year":"2019","journal-title":"Proc ISMIR"},{"key":"ref18","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref19","article-title":"An overview of gradient descent optimization algorithms","author":"ruder","year":"2016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/11766247_19"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-5225-0270-8.ch008"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/09298215.2018.1447584"},{"key":"ref5","article-title":"Function- and rhythm-aware melody harmonization based on tree-structured parsing and split-merge sampling of chord sequences","author":"tsushima","year":"2017","journal-title":"Proc ISMIR"},{"key":"ref8","article-title":"Deep learning techniques for music generation: A Survey","author":"briot","year":"2017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01692-0_34"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1357054.1357169"},{"key":"ref1","article-title":"A hybrid system for automatic generation of style-specific accompaniment","author":"chuan","year":"2007","journal-title":"Proc IJWCC"},{"key":"ref9","article-title":"Chord generation from symbolic melody using BLSTM networks","author":"lim","year":"2017","journal-title":"Proc IS-MIR"},{"key":"ref20","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc ICLR"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1178723.1178727"},{"key":"ref23","article-title":"Hooktheory","author":"anderson","year":"0"}],"event":{"name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Toronto, ON, Canada","start":{"date-parts":[[2021,6,6]]},"end":{"date-parts":[[2021,6,11]]}},"container-title":["ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9413349\/9413350\/09414281.pdf?arnumber=9414281","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T20:17:41Z","timestamp":1659471461000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9414281\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,6]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icassp39728.2021.9414281","relation":{},"subject":[],"published":{"date-parts":[[2021,6,6]]}}}