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Symbolic music understanding, which refers to the understanding of music from the symbolic data (e.g., MIDI format, but not audio), covers many music applications such as genre classification, emotion classification, and music pieces matching.
Mass: Masked sequence to sequence pre-training for language generation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2019 · 1905
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V Le. 2019 · 1906
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Music and language: A developmental comparison
Erin McMullen and Jenny R Saffran. 2004 · 2004
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Mpnet: Masked and permuted pre-training for language understanding
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2020 · 2004
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Language models are few-shot learners
Tom B Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 2005
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Content-based music information retrieval: Current directions and future challenges
Michael A Casey, Remco Veltkamp, Masataka Goto, Marc Leman, Christophe Rhodes, and Malcolm Slaney. 2008 · 2008
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Parallels and nonparallels between language and music
Ray Jackendoff. 2009 · 2009
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Giantmidi-piano: A large-scale midi dataset for classical piano music
Qiuqiang Kong, Bochen Li, Jitong Chen, and Yuxuan Wang. 2020a · 2010
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High-resolution piano transcription with pedals by regressing onsets and offsets times
Qiuqiang Kong, Bochen Li, Xuchen Song, Yuan Wan, and Yuxuan Wang. 2020b · 2010
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Shulei Ji, Jing Luo, and Xinyu Yang. 2020 · 2011
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Songmass: Automatic song writing with pre-training and alignment constraint
Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, and Tao Qin. 2020 · 2012
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Chordripple: Recommending chords to help novice composers go beyond the ordinary
Cheng-Zhi Anna Huang, David Duvenaud, and Krzysztof Z Gajos. 2016 · 2016
Cited alongside, same era.
Chord2vec: Learning musical chord embeddings
Sephora Madjiheurem, Lizhen Qu, and Christian Walder. 2016 · 2016
Cited alongside, same era.
Learning-based methods for comparing sequences, with applications to audio-to-midi alignment and matching
Colin Raffel. 2016 · 2016
Cited alongside, same era.
Modeling musical context with word2vec
Dorien Herremans and Ching-Hua Chuan. 2017 · 2017
Cited alongside, same era.
Music transformer: Generating music with long-term structure (2018)
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Curtis Hawthorne, AM Dai, MD Hoffman, and D Eck. 2018 · 2018
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Enabling factorized piano music modeling and generation with the MAESTRO dataset
Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, and Douglas Eck. 2019 · 2019
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Melody2vec: Distributed representations of melodic phrases based on melody segmentation
Tatsunori Hirai and Shun Sawada. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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From context to concept: exploring semantic relationships in music with word2vec
Ching-Hua Chuan, Kat Agres, and Dorien Herremans. 2020 · 2020
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Sergio Oramas, Oriol Nieto, Francesco Barbieri, and Xavier Serra. 2017 · 2017
Cited alongside, same era.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Symbolic music genre transfer with cyclegan
Gino Brunner, Yuyi Wang, Roger Wattenhofer, and Sumu Zhao. 2018 · 2018
Cited alongside, same era.
Modeling temporal tonal relations in polyphonic music through deep networks with a novel image-based representation
Ching-Hua Chuan and Dorien Herremans. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Pypianoroll: Open source python package for handling multitrack pianoroll
Hao-Wen Dong, Wen-Yi Hsiao, and Yi-Hsuan Yang. 2018 · 2018
Cited alongside, same era.
On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns
Andres Ferraro and Kjell Lemström. 2018 · 2018
Cited alongside, same era.
Pop music transformer: Beat-based modeling and generation of expressive pop piano compositions
Yu-Siang Huang and Yi-Hsuan Yang. 2020 · 2020
Later among the works it cites.
Spanbert: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
Later among the works it cites.
Pirhdy: Learning pitch-, rhythm-, and dynamics-aware embeddings for symbolic music
Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan, Zhenglu Yang, Maosong Sun, and Tat-Seng Chua. 2020 · 2020
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This time with feeling: Learning expressive musical performance
Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, and Karen Simonyan. 2020 · 2020
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Popmag: Pop music accompaniment generation
Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, and Tie-Yan Liu. 2020 · 2020
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Compound word transformer: Learning to compose full-song music over dynamic directed hypergraphs
Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh, and Yi-Hsuan Yang. 2021 · 2021
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