Compositional Development of Chinese Pipa Music in the New Media Era

• Published in: Applied mathematics and nonlinear sciences Vol. 9; no. 1
• Main Author: Wang, Xinjie
• Format: Journal Article
• Language: English
• Published: Sciendo 01.01.2024
• Subjects: 68Q05; Feature extraction; Innovative development; New media; Pipa music
• ISSN: 2444-8656; 2444-8656
• DOI: 10.2478/amns-2024-0565

In the new media era, the creation and development of Chinese pipa music faces new challenges and opportunities. This paper analyses the characteristics of pipa music and explores its innovative path and development trend in the contemporary environment through technical means. Music signal preprocessing, feature extraction and other methods are adopted to provide an in-depth characterization of pipa music. In the study, the pipa music was classified concerning pitch, loudness, timbre and rhythm, and the musical features were extracted using techniques such as MFCC and LPC. The experimental data contained 300 pieces of pipa music of different styles, and a series of specific numerical results were derived from the Characterization of this music. For example, in the MFCC feature retrieval experiment, the retrieval accuracy of a 30-second music clip was improved by 0.024 compared to a 10-second clip. In addition, by analyzing the timbre features of 12 pipas, and using MATLAB to process the data, a quantitative judgement of the goodness of the timbre was derived. The possibility of combining pipa music with electronic music was explored with new media technology. The artistic expression of pipa music can be effectively analyzed and enhanced through scientific methods, providing fresh ideas for the innovative development of pipa music.