Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)

Exploring the Performance Method of Zhang Zhao’s “Ballad” for Piano

Authors
Yuxuan Zhang1, *, Ping Hu2
Jianghan Universtiy, Wuhan, Hubei 430056
*Corresponding author Email: 453578737@qq.com1, hp@jhun.edu.cn2
Corresponding Author
Yuxuan Zhang
Available Online 11 July 2022.
DOI
10.2991/assehr.k.220704.084How to use a DOI?
Keywords
Zhang Zhao; Ballad piece; Chinese work; performance method
Abstract

Zhang Zhao’s piano piece “Ballad” is adapted from the Ballad piece of the same name “Wang Erxiao” by poet Fang Bing and famous Chinese composer Li Jiefu. This paper focuses on the background of the work and a brief analysis of the work, the artistic characteristics of characterization and storytelling, and the analysis of the performance method of characterization and artistic characteristics of storytelling, in order to provide some theoretical basis for the performers and hopefully to provide some help to them.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 July 2022
ISBN
978-94-6239-589-3
ISSN
2352-5398
DOI
10.2991/assehr.k.220704.084How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Yuxuan Zhang
AU  - Ping Hu
PY  - 2022
DA  - 2022/07/11
TI  - Exploring the Performance Method of Zhang Zhao’s “Ballad” for Piano
BT  - Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)
PB  - Atlantis Press
SP  - 459
EP  - 463
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220704.084
DO  - 10.2991/assehr.k.220704.084
ID  - Zhang2022
ER  -