SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias

Author:

Wang Zihao1,Zhang Kejun2,Wang Yuxing1,Zhang Chen1,Liang Qihao1,Yu Pengfei3,Feng Yongsheng4,Liu Wenbo1,Wang Yikai1,Bao Yuntao1,Yang Yiheng1

Affiliation:

1. Zhejiang University, Hangzhou, China

2. Zhejiang University; Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Hangzhou, China

3. Jingchu University of Technology, Jingmen, China

4. Shandong University, Weihai, China

Funder

Project of Key Laboratory of Intelligent Processing Technology for Digital Music (Zhejiang Conservatory of Music), Ministry of Culture and Tourism

the Key R&D Program of Zhejiang Province

the Key Project of Natural Science Foundation of Zhejiang Province

Publisher

ACM

Reference28 articles.

1. An intelligent hybrid model for chord prediction

2. Zihang Dai , Zhilin Yang , Yiming Yang , Jaime Carbonell , Quoc V Le , and Ruslan Salakhutdinov . 2019 . Transformer-xl: Attentive language models beyond a fixed-length context. arXiv preprint arXiv:1901.02860 (2019). Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc V Le, and Ruslan Salakhutdinov. 2019. Transformer-xl: Attentive language models beyond a fixed-length context. arXiv preprint arXiv:1901.02860 (2019).

3. An on-line algorithm for real-time accompaniment;Dannenberg Roger B;ICMC,1984

4. Chris Donahue , Huanru Henry Mao , Yiting Ethan Li, Garrison W Cottrell, and Julian McAuley. 2019 . LakhNES : Improving multi-instrumental music generation with cross-domain pre-training. arXiv preprint arXiv:1907.04868 (2019). Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W Cottrell, and Julian McAuley. 2019. LakhNES: Improving multi-instrumental music generation with cross-domain pre-training. arXiv preprint arXiv:1907.04868 (2019).

5. MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

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