Du Mingxin. Piano Suite based on the ballet 'Rusalka': the experience of stylistic and performance analysis

Autor: Futong Zhang, Aysylu Tagirovna Gumerova
Rok vydání: 2022
Předmět:
Zdroj: PHILHARMONICA. International Music Journal. :27-38
ISSN: 2453-613X
DOI: 10.7256/2453-613x.2022.4.38407
Popis: The object of the study is the piano work of the famous Chinese composer, teacher Du Minxin (born 1928). The genre composition of his piano work is diverse – it includes miniatures, suite cycles, concerts, fantasies, toccatas. A separate place is occupied by piano transcriptions created by the composer on the material of his own ballets – "Red Women's Squad", "Mermaid". The subject of the study is a piano suite based on the ballet "Rusalka", which is a repertoire composition in concert and pedagogical practice in China. The purpose of the work is to identify the stylistic and performing features of the work necessary for the successful interpretation of the work. In the process of preparing the material, theoretical and empirical research methods were involved, including analysis, generalization and systematization of scientific sources, stylistic and performance analysis of the suite "Mermaid" by Du Mingxin. As a result of a detailed examination of a number of plays, the features of the figurative structure, form formation, intonation, harmonic language, texture are revealed. Special attention is paid to the performing tasks that a pianist needs to solve when referring to this composition. In particular, the author deals with the issues of stroke technique, pedalization, tempo and dynamic dramaturgy, disclosure and use of the timbre-coloristic possibilities of the piano. Of particular importance in the performance of the composition is the orchestrality of the piano sound. The conclusion is made about the importance of preliminary analysis of the orchestral score when performing piano transcription of ballet music. In the Russian research literature, the suite on Du Minxin's ballet "The Mermaid" is considered in detail for the first time.
Databáze: OpenAIRE