applied sciences Article Analysis and Modeling of Timbre Perception Features in Musical Sounds Wei Jiang 1,2,3, Jingyu Liu 1,2,3, Xiaoyi Zhang 1,2,3, Shuang Wang 1,2,3 and Yujian Jiang 1,2,3,* 1 Key Laboratory of Acoustic Visual Technology and Intelligent Control System, Communication University of China, Ministry of Culture and Tourism, Beijing 100024, China;
[email protected] (W.J.);
[email protected] (J.L.);
[email protected] (X.Z.);
[email protected] (S.W.) 2 Beijing Key Laboratory of Modern Entertainment Technology, Communication University of China, Beijing 100024, China 3 School of Information and Communication Engineering, Communication University of China, Beijing 100024, China * Correspondence:
[email protected] Received: 25 December 2019; Accepted: 20 January 2020; Published: 22 January 2020 Abstract: A novel technique is proposed for the analysis and modeling of timbre perception features, including a new terminology system for evaluating timbre in musical instruments. This database consists of 16 expert and novice evaluation terms, including five pairs with opposite polarity. In addition, a material library containing 72 samples (including 37 Chinese orchestral instruments, 11 Chinese minority instruments, and 24 Western orchestral instruments) and a 54-sample objective acoustic parameter set were developed as part of the study. The method of successive categories was applied to each term for subjective assessment. A mathematical model of timbre perception features (i.e., bright or dark, raspy or mellow, sharp or vigorous, coarse or pure, and hoarse or consonant) was then developed for the first time using linear regression, support vector regression, a neural network, and random forest algorithms.