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Technology of Graphic & Image
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923-927,955

Conducting motion generation based on dynamic frequency domain decomposition

He Xin
Liu Fan
Chen Delong
Zhou Ruizhi
School of Computer & Information, Hohai University, Nanjing 210098, China

Abstract

In recent years, the intrinsic relationship between music and motions have been widely studied. However, very few efforts have been made to develop music-driven conducting motion generation models, which takes music as input signal to generate conducting motion in harmony with music rhythm and semantics. This paper proposed a music-driven conducting motion generation approach based on DFMD. Specifically, firstly it constructed a filter using the beat information to decompose the command action into high and low frequency components. Then, a deep convolutional neural network dynamically learnt these components, and it synthesized the final command action. Experimental results on the large-scale ConductorMotion100 dataset show that the standard deviation of the generated lowfrequency and high-frequency motion components is 4.457 9 and 9.646 6, which are very close to the real motions. The proposed method breaks through the limitations of coherence and coordination in time-domain or spatial-domain motion decomposition, and effectively avoids the influence of large-value low-frequency motion on small-value high-frequency motion. The visualized results show that the generated movements are natural, beautiful, diverse, and closely synchronize with the music signal. It provides a new understanding of the connection between music and movement, and brings innovative application prospects to the field of musical performance.

Foundation Support

国家自然科学基金资助项目(62372155)
装备预研教育部联合基金资助项目
江苏高校“青蓝工程”资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0321
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 3
Section: Technology of Graphic & Image
Pages: 923-927,955
Serial Number: 1001-3695(2024)03-042-0923-05

Publish History

[2023-12-08] Accepted Paper
[2024-03-05] Printed Article

Cite This Article

贺鑫, 刘凡, 陈德龙, 等. 基于动态频域分解的乐队指挥动作生成 [J]. 计算机应用研究, 2024, 41 (3): 923-927,955. (He Xin, Liu Fan, Chen Delong, et al. Conducting motion generation based on dynamic frequency domain decomposition [J]. Application Research of Computers, 2024, 41 (3): 923-927,955. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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