Pipa Performance Analysis and Timbre Simulation Based on Artificial Intelligence
DOI:
https://doi.org/10.54097/1p5y7c36Keywords:
Analysis of pipa techniques, Tone simulation, Artificial intelligence applications.Abstract
As a traditional Chinese musical instrument, pipa is famous for its unique timbre and complex and varied playing techniques. It is an important symbol of Chinese music culture. However, its complexity also makes its digital protection and research face many challenges. There are many kinds of playing techniques for pipa, such as finger rolling, plucking, bending, sweeping and overtones, each technique gives it a unique timbre change. In addition, the timbre of the pipa presents a variety of expressions due to the playing force, speed and the performer's skills, which puts higher demands on traditional music research and simulation technology.With the rapid development of artificial intelligence technology, especially breakthroughs in audio signal processing and deep learning, new solutions have been provided for the research of pipa art. By combining machine learning models and generative adversarial networks (GAN), significant progress can be made in technique analysis and timbre simulation. This study aims to use artificial intelligence technology to analyze the performance characteristics of the pipa and generate realistic timbre simulations, providing technical support for the digital protection and dissemination of traditional music.
Downloads
References
[1] McFee B. et al. (2015). "Librosa: Audio and music signal analysis in Python." Proceedings of the 14th Python in Science Conference..
[2] Li Xiangting. “Introduction to Pipa Art,” in 2015 Proc. Beijing: Central Conservatory of Music Press.
[3] Wang Cizhao. “Artificial Intelligence and Music: Theory and Application,” in 2018 Proc. Shanghai: Fudan University Press.
[4] Goodfellow I, Bengio Y, and Courville A. (2016). Deep Learning. MIT Press.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Academic Journal of Science and Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.