Brightness perception for musical instrument sounds: Relation to timbre dissimilarity and source-cause categories

被引:15
|
作者
Saitis, Charalampos [1 ,4 ]
Siedenburg, Kai [2 ,3 ]
机构
[1] TU Berlin, Audio Commun Grp, Einsteinufer 17c, D-10587 Berlin, Germany
[2] Carl von Ossietzky Univ Oldenburg, Dept Med Phys & Acoust, D-26129 Oldenburg, Germany
[3] Carl von Ossietzky Univ Oldenburg, Cluster Excellence Hearing4all, D-26129 Oldenburg, Germany
[4] Queen Mary Univ London, Ctr Digital Mus, Sch Elect Engn & Comp Sci, Mile End Rd, London E1 4NS, England
来源
基金
欧盟地平线“2020”;
关键词
DIMENSIONS; DESCRIPTORS; INTERLANGUAGE; SEMANTICS; SPACE;
D O I
10.1121/10.0002275
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Timbre dissimilarity of orchestral sounds is well-known to be multidimensional, with attack time and spectral centroid representing its two most robust acoustical correlates. The centroid dimension is traditionally considered as reflecting timbral brightness. However, the question of whether multiple continuous acoustical and/or categorical cues influence brightness perception has not been addressed comprehensively. A triangulation approach was used to examine the dimensionality of timbral brightness, its robustness across different psychoacoustical contexts, and relation to perception of the sounds' source-cause. Listeners compared 14 acoustic instrument sounds in three distinct tasks that collected general dissimilarity, brightness dissimilarity, and direct multi-stimulus brightness ratings. Results confirmed that brightness is a robust unitary auditory dimension, with direct ratings recovering the centroid dimension of general dissimilarity. When a two-dimensional space of brightness dissimilarity was considered, its second dimension correlated with the attack-time dimension of general dissimilarity, which was interpreted as reflecting a potential infiltration of the latter into brightness dissimilarity. Dissimilarity data were further modeled using partial least-squares regression with audio descriptors as predictors. Adding predictors derived from instrument family and the type of resonator and excitation did not improve the model fit, indicating that brightness perception is underpinned primarily by acoustical rather than source-cause cues.
引用
收藏
页码:2256 / 2266
页数:11
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