SymforNet: application of cross-modal information correspondences based on self-supervision in symbolic music generation-Reference-Cited by-同舟云学术

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SymforNet: application of cross-modal information correspondences based on self-supervision in symbolic music generation

Published:2024-03 Issue:5 Volume:54 Page:4140-4152
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Abudukelimu Halidanmu,Chen Jishang,Liang Yunze,Abulizi Abudukelimu^ORCID,Yasen Alimujiang

Funder

National Natural Science Foundation of China

Xinjiang University of Finance and Economics scientific research fund project

National Natural Science Foundation of China under grant

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10489-024-05335-y.pdf

Reference30 articles.

1. Zhang N (2020) Zhang N (2020) Learning adversarial transformer for symbolic music generation. IEEE Trans Neural Netw Learn Syst 34(4):1754–1763

2. Sulun S, Davies ME, Viana P (2022) Symbolic music generation conditioned on continuous-valued emotions. IEEE Access 10:44617–44626

3. Hernandez-Olivan C, Beltran JR (2023) Musicaiz: a python library for symbolic music generation, analysis and visualization. SoftwareX 22:101365

4. Solomonova OB, Zavgorodnia GF, Muravska OV, Chernoivanenko AD, Aleksandrova OO (2021) Interconnection of linguistics and musical art: specifics of music semantics development. Linguist Culture Rev 5(S4):700–713

5. Chen T-P, Su L (2021) Attend to Chords: Improving Harmonic Analysis of Symbolic Music Using Transformer-Based Models. Trans Int Soc Music Inf Retr 4(1):1–14

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EEG-driven automatic generation of emotive music based on transformer;Frontiers in Neurorobotics;2024-08-19

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