{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T10:09:35Z","timestamp":1777630175576,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,7,3]],"date-time":"2020-07-03T00:00:00Z","timestamp":1593734400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,7,3]]},"DOI":"10.1145\/3409501.3409534","type":"proceedings-article","created":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T14:56:37Z","timestamp":1598367397000},"page":"192-198","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Coarse-To-Fine Framework For Music Generation via Generative Adversarial Networks"],"prefix":"10.1145","author":[{"given":"Dan","family":"Ma","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Liu","sequence":"additional","affiliation":[{"name":"Center of Statistics Research, School of Statistics, Southwestern University of Finance and Economics, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiyu","family":"Qiao","sequence":"additional","affiliation":[{"name":"College of Science and Engineering, The university of Edinburgh Edinburgh, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danni","family":"Cao","sequence":"additional","affiliation":[{"name":"Center of Statistics Research, School of Statistics, Southwestern University of Finance and Economics, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guosheng","family":"Yin","sequence":"additional","affiliation":[{"name":"Department of Statistics and Actuarial Science, The University of Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,8,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1002\/chem.201102611"},{"key":"e_1_3_2_1_2_1","unstructured":"Hang Chu Raquel Urtasun and Sanja Fidler. 2016. Song from PI: A musicallyplausible network for pop music generation.arXiv preprint arXiv:1611.03477(2016).  Hang Chu Raquel Urtasun and Sanja Fidler. 2016. Song from PI: A musicallyplausible network for pop music generation.arXiv preprint arXiv:1611.03477(2016)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11312"},{"key":"e_1_3_2_1_4_1","unstructured":"Douglas Eck and Juergen Schmidhuber. 2002.A First Look at Music Composi-tion using LSTM Recurrent Neural Networks. Istituto Dalle Molle Di Studi SullIntelligenza Artificiale.  Douglas Eck and Juergen Schmidhuber. 2002.A First Look at Music Composi-tion using LSTM Recurrent Neural Networks. Istituto Dalle Molle Di Studi SullIntelligenza Artificiale."},{"key":"e_1_3_2_1_5_1","volume-title":"Winter semester2014, 5","author":"Gauthier Jon","year":"2014","unstructured":"Jon Gauthier . 2014. Conditional generative adversarial nets for convolutionalface generation. Class Project for Stanford CS231N: Convolutional Neural Networksfor Visual Recognition , Winter semester2014, 5 ( 2014 ), 2. Jon Gauthier. 2014. Conditional generative adversarial nets for convolutionalface generation. Class Project for Stanford CS231N: Convolutional Neural Networksfor Visual Recognition, Winter semester2014, 5 (2014), 2."},{"key":"e_1_3_2_1_6_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarialnets. InAdvances in neural information processing systems. 2672--2680.  Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarialnets. InAdvances in neural information processing systems. 2672--2680."},{"key":"e_1_3_2_1_7_1","volume-title":"InProceedings of the IEEE conference on computer vision andpattern recognition. 4681--4690","author":"Ledig Christian","unstructured":"Christian Ledig , Lucas Theis , Ferenc Husz\u00e1r , Jose Caballero , Andrew Cunning-ham, Alejandro Acosta , Andrew Aitken , Alykhan Tejani , Johannes Totz , ZehanWang, Photo-realistic single image super-resolution using a generativeadversarial network . InProceedings of the IEEE conference on computer vision andpattern recognition. 4681--4690 . Christian Ledig, Lucas Theis, Ferenc Husz\u00e1r, Jose Caballero, Andrew Cunning-ham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, ZehanWang, et al.2017. Photo-realistic single image super-resolution using a generativeadversarial network. InProceedings of the IEEE conference on computer vision andpattern recognition. 4681--4690."},{"key":"e_1_3_2_1_8_1","unstructured":"Mehdi Mirza and Simon Osindero. 2014. Conditional Generative AdversarialNets.Computer Science(2014) 2672--2680.  Mehdi Mirza and Simon Osindero. 2014. Conditional Generative AdversarialNets.Computer Science(2014) 2672--2680."},{"key":"e_1_3_2_1_9_1","unstructured":"Olof Mogren. 2016. C-RNN-GAN: Continuous recurrent neural networks withadversarial training.Constructive Machine Learning Workshop on NIPS(2016).  Olof Mogren. 2016. C-RNN-GAN: Continuous recurrent neural networks withadversarial training.Constructive Machine Learning Workshop on NIPS(2016)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461914"},{"key":"e_1_3_2_1_11_1","volume-title":"Rhythm tran-scription of polyphonic piano music based on merged-output HMM for multiplevoices","author":"Nakamura Eita","year":"2017","unstructured":"Eita Nakamura , Kazuyoshi Yoshii , and Shigeki Sagayama . 2017. Rhythm tran-scription of polyphonic piano music based on merged-output HMM for multiplevoices .IEEE\/ACM Transactions on Audio, Speech, and Language Processing 25, 4( 2017 ), 794--806. Eita Nakamura, Kazuyoshi Yoshii, and Shigeki Sagayama. 2017. Rhythm tran-scription of polyphonic piano music based on merged-output HMM for multiplevoices.IEEE\/ACM Transactions on Audio, Speech, and Language Processing25, 4(2017), 794--806."},{"key":"e_1_3_2_1_12_1","volume-title":"34th InternationalConference on Machine Learning. JMLR. org, 2642--2651","author":"Odena Augustus","year":"2017","unstructured":"Augustus Odena , Christopher Olah , and Jonathon Shlens . 2017 . Conditional imagesynthesis with auxiliary classifier gans. InProceedings of the 34th InternationalConference on Machine Learning. JMLR. org, 2642--2651 . Augustus Odena, Christopher Olah, and Jonathon Shlens. 2017. Conditional imagesynthesis with auxiliary classifier gans. InProceedings of the 34th InternationalConference on Machine Learning. JMLR. org, 2642--2651."},{"key":"e_1_3_2_1_13_1","unstructured":"Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan OriolVinyals Alex Graves Nal Kalchbrenner Andrew Senior and Koray Kavukcuoglu.2016. Wavenet: A generative model for raw audio.arXiv preprint arXiv:1609.03499(2016).  Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan OriolVinyals Alex Graves Nal Kalchbrenner Andrew Senior and Koray Kavukcuoglu.2016. Wavenet: A generative model for raw audio.arXiv preprint arXiv:1609.03499(2016)."},{"key":"e_1_3_2_1_14_1","unstructured":"Scott E. Reed Zeynep Akata Xinchen Yan Lajanugen Logeswaran Bernt Schiele and Honglak Lee. 2016. Generative adversarial text to image synthesis.Interna-tional Conference on Machine Learning(2016) 1060--1069.  Scott E. Reed Zeynep Akata Xinchen Yan Lajanugen Logeswaran Bernt Schiele and Honglak Lee. 2016. Generative adversarial text to image synthesis.Interna-tional Conference on Machine Learning(2016) 1060--1069."},{"key":"e_1_3_2_1_15_1","volume-title":"COCHONUT: RECOGNIZING COM-PLEX CHORDS FROM MIDI GUITAR SEQUENCES. InInternational Conferenceson Music Information Retrieval. 27--32","author":"Scholz Ricardo","year":"2008","unstructured":"Ricardo Scholz and Geber Ramalho . 2008 . COCHONUT: RECOGNIZING COM-PLEX CHORDS FROM MIDI GUITAR SEQUENCES. InInternational Conferenceson Music Information Retrieval. 27--32 . Ricardo Scholz and Geber Ramalho. 2008. COCHONUT: RECOGNIZING COM-PLEX CHORDS FROM MIDI GUITAR SEQUENCES. InInternational Conferenceson Music Information Retrieval. 27--32."},{"key":"e_1_3_2_1_16_1","volume-title":"Oded Ben-Tal, and Iryna Korshunova.","author":"Sturm Bob L","year":"2016","unstructured":"Bob L Sturm , Joao Felipe Santos , Oded Ben-Tal, and Iryna Korshunova. 2016 .Music transcription modelling and composition using deep learning.arXivpreprint arXiv:1604.08723(2016). Bob L Sturm, Joao Felipe Santos, Oded Ben-Tal, and Iryna Korshunova. 2016.Music transcription modelling and composition using deep learning.arXivpreprint arXiv:1604.08723(2016)."},{"key":"e_1_3_2_1_17_1","volume-title":"Music Chord Recognition Based on Midi-TrainedDeep Feature and BLSTM-CRF Hybird Decoding. In2018 IEEE InternationalConference on Acoustics, Speech and Signal Processing (ICASSP)","author":"Wu Yiming","unstructured":"Yiming Wu and Wei Li. 2018. Music Chord Recognition Based on Midi-TrainedDeep Feature and BLSTM-CRF Hybird Decoding. In2018 IEEE InternationalConference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE , 376--380. Yiming Wu and Wei Li. 2018. Music Chord Recognition Based on Midi-TrainedDeep Feature and BLSTM-CRF Hybird Decoding. In2018 IEEE InternationalConference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 376--380."},{"key":"e_1_3_2_1_18_1","volume-title":"Szu Yu Chou, and Yi Hsuan Yang","author":"Yang Li Chia","year":"2017","unstructured":"Li Chia Yang , Szu Yu Chou, and Yi Hsuan Yang . 2017 . MidiNet: A ConvolutionalGenerative Adversarial Network for Symbolic-domain Music Generation .arXivpreprint arXiv:1703.10847(2017). Li Chia Yang, Szu Yu Chou, and Yi Hsuan Yang. 2017. MidiNet: A ConvolutionalGenerative Adversarial Network for Symbolic-domain Music Generation.arXivpreprint arXiv:1703.10847(2017)."},{"key":"e_1_3_2_1_19_1","unstructured":"Lantao Yu Weinan Zhang Jun Wang and Yong Yu. 2017. SeqGAN: SequenceGenerative Adversarial Nets with Policy Gradient.. InAAAI. 2852--2858.  Lantao Yu Weinan Zhang Jun Wang and Yong Yu. 2017. SeqGAN: SequenceGenerative Adversarial Nets with Policy Gradient.. InAAAI. 2852--2858."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.629"}],"event":{"name":"HPCCT & BDAI 2020: 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence","location":"Qingdao China","acronym":"HPCCT & BDAI 2020","sponsor":["Xi'an Jiaotong-Liverpool University Xi'an Jiaotong-Liverpool University"]},"container-title":["Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3409501.3409534","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3409501.3409534","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:41Z","timestamp":1750199921000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3409501.3409534"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,3]]},"references-count":20,"alternative-id":["10.1145\/3409501.3409534","10.1145\/3409501"],"URL":"https:\/\/doi.org\/10.1145\/3409501.3409534","relation":{},"subject":[],"published":{"date-parts":[[2020,7,3]]},"assertion":[{"value":"2020-08-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}