This paper offers a series of characterizations of prototypical musical timbres, called Timbre Trait Profiles, for 34 musical instruments common in Western orchestras and wind ensembles. These profiles represent the results of a study in which 243 musician participants imagined the sounds of various instruments and used the 20-dimensional model of musical instrument timbre qualia proposed by Reymore and Huron (2020) to rate their auditory image of each instrument. The rating means are visualized through radar plots, which provide timbral-linguistic thumbprints, and are summarized through snapshot profiles, which catalog the six highest- and three lowest-rated descriptors. The Euclidean distances among instruments offer a quantitative operationalization of semantic distances; these distances are illustrated through hierarchical clustering and multidimensional scaling. Exploratory Factor Analysis is used to analyze the latent structure of the rating data. Finally, results are used to assess Reymore and Huron’s 20-dimensional timbre qualia model, suggesting that the model is highly reliable. It is anticipated that the Timbre Trait Profiles can be applied in future perceptual/cognitive research on timbre and orchestration, in music theoretical analysis for both close readings and corpus studies, and in orchestration pedagogy.

本文提供了一系列典型音色的表征，这些音色被称为“ Timbre Trait Profiles”，适用于西方乐团和管乐团中的34种常见乐器。这些配置文件表示其中243名音乐家参与者想象各种乐器的声音，并用于乐器音色的20维模型的一项研究的结果感受性由Reymore和Huron（2020）提出，以评估他们对每种乐器的听觉形象。评级手段通过雷达图可视化，雷达图提供了音色语言的指纹，并通过快照配置文件进行了汇总，快照配置文件列出了评级最高的六个描述符和三个评级最低的描述符。仪器之间的欧几里得距离提供了语义距离的定量运算；这些距离通过层次聚类和多维缩放来说明。探索性因素分析用于分析评估数据的潜在结构。最后，结果被用来评估Reymore和休伦湖的20维的音色感受性模型，表明该模型是高度可靠的。可以预期，“音色特征”可用于将来的音色和编排感知，认知研究，近距离阅读和语料库研究的音乐理论分析以及编排教学法中。