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Published on 6 June 2024
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Yang,K. (2024). Analysis of dreamcore music composing based on Nyquist. Applied and Computational Engineering,68,123-127.
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Analysis of dreamcore music composing based on Nyquist

Ke Yang *,1,
  • 1 Chengdu No.7 High School, Chengdu 610001, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/68/20241413

Abstract

As a matter of fact, computer music composition serves as a potent tool for musicians in the process of sound synthesis. More of their ideas and imaginations can be realized, more innovative exploration could be fostered in the field of music. Dreamcore is an art style that presents a kind of surreal nostalgia, and dreamcore music is a relatively new musical style related to the feeling of dreamcore. Being attracted by this musical style, the author aimed to compose a piece of dreamcore music by Nyquist, which is an interactive language for music composition. After summarizing and imitating the music styles and characteristics of the selected sample music, this study used the score, code it in Nyquist, and use musical effects to create a piece of music that is dreamy. The research obtained a music demo after the composition. The piece of music did embody the dreamcore aesthetic, and the basic requirements that the author made were met, but further exploration and enhancement could still be done to the music.

Keywords

Nyquist, dreamcore, computer music

[1]. Liang L and Liu J 2021 An exploration of the application of computer music production software in music composition. IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) pp 794-796.

[2]. Curtis Roads 1996 The Computer Music Tutorial. Foreword: New Music and Science.

[3]. Wu H 2022 Lost items and exposed shame—dreamcore’s inheritance and transcendence of liminal space and defamiliarization. Journal for Cultural Research vol 26(2): 153-165.

[4]. Zhang J R 2023 Artistic Expression and Aesthetic Psychology of Dream Core from the Perspective of Psychoanalysis. Popular Literature and Art vol 18 pp 223-225.

[5]. Huang X 2020 The Musical Style and the Cultural Connotation of Bright Sheng’s Opera Dream of the Red Chamber (Doctoral dissertation, University of Nevada, Las Vegas).

[6]. Graham M 2020 Platform socialism. twentyforty–Utopias for a Digital Society.

[7]. Dannenberg R B 1997 Machine Tongues XIX: Nyquist, a Language for Composition and Sound Synthesis. Computer Music Journal vol 21(3) pp 50-60.

[8]. Simoni M and Dannenberg R B 2013 Algorithmic Composition: A Guide to Composing Music with Nyquist. University of Michigan Press.

[9]. Huang Y, Jia Z, Lin C and Shi Y 2023 Composing Real Time Adapting Weather Music based on Nyquist. Highlights in Science, Engineering and Technology vol 39 pp 280-285.

[10]. Li W, Ma Z and Zou Z 2024 Synthetic Music Random Generation Based on Nyquist. Highlights in Science, Engineering and Technology vol 85 pp 591-596.

Cite this article

Yang,K. (2024). Analysis of dreamcore music composing based on Nyquist. Applied and Computational Engineering,68,123-127.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 6th International Conference on Computing and Data Science

Conference website: https://www.confcds.org/
ISBN:978-1-83558-457-6(Print) / 978-1-83558-458-3(Online)
Conference date: 12 September 2024
Editor:Alan Wang, Roman Bauer
Series: Applied and Computational Engineering
Volume number: Vol.68
ISSN:2755-2721(Print) / 2755-273X(Online)

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