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Rap generation, which aims to produce lyrics and corresponding singing beats, needs to model both rhymes and rhythms.
Gpt-based generation for classical chinese poetry
Yi Liao, Yasheng Wang, Qun Liu, and Xin Jiang. 2019 · 1907
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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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Ghostwriter: Using an lstm for automatic rap lyric generation
Peter Potash, Alexey Romanov, and Anna Rumshisky. 2015 · 1924
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Deep-speare: A joint neural model of poetic language, meter and rhyme
Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, and Adam Hammond. 2018 · 1958
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Calculation of the wasserstein distance between probability distributions on the line
SS Vallender. 1974 · 1974
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Rap music and street consciousness , volume 501
Cheryl Lynette Keyes. 2004 · 2004
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Chinese poetry generation with recurrent neural networks
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Dopelearning: A computational approach to rap lyrics generation
Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, and Aristides Gionis. 2016 · 2016
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Attention is all you need
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Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, and Tie-Yan Liu. 2018 · 2018
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Pop music transformer: Beat-based modeling and generation of expressive pop piano compositions
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Rigid formats controlled text generation
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A syllable-structured, contextually-based conditionally generation of chinese lyrics
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2019 · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019 · 2019
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Deep poetry: A chinese classical poetry generation system
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librosa/librosa: 0.8.0
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