Abstract
This paper studies the analysis and modeling of timbre perception features of musical sound. Firstly, a timbre material library containing 74 samples was constructed, and an objective acoustic parameter set containing 76 parameters was constructed. Then, for each timbre evaluation term, method of successive categories is used for subjective evaluation experiment, and the experimental data of timbre perception features are obtained. Finally, the mathematical model of timbre perception is established by support vector regression. The experimental results show that the model has good prediction ability for four timbre perception features.