Weinzierl Stefan, Lepa Steffen, Schultz Frank, Detzner Erik, von Coler Henrik, Behler Gottfried
Audio Communication Group, TU Berlin, Einsteinufer 17c, D-10587 Berlin, Germany.
Institute for Technical Acoustics, RWTH Aachen, Kopernikusstr. 5, D-52074 Aachen, Germany.
J Acoust Soc Am. 2018 Sep;144(3):1347. doi: 10.1121/1.5053113.
In a series of measurements, the sound power of 40 musical instruments, including all standard modern orchestral instruments, as well as some of their historic precursors from the classical and the baroque epoch, was determined using the enveloping surface method with a 32-channel spherical microphone array according to ISO 3745. Single notes were recorded at the extremes of the dynamic range ( and ) over the entire pitch range. In a subsequent audio content analysis, audio features were determined for all 3482 single notes using the timbre toolbox. In order to analyze the relative contributions of timbre- and amplitude-related properties to the expression of musical dynamics in different instruments, Bayesian linear discriminant analysis and generalized linear mixed modelling were employed to determine those audio features discriminating best between extremes of dynamics both within and across instruments. The results from these measurements and statistical analyses thus deliver a comprehensive picture of the acoustical manifestation of "musical dynamics" with respect to sound power and timbre for all standard orchestral instruments.
在一系列测量中,使用符合ISO 3745标准的32通道球形麦克风阵列,通过包络面法测定了40种乐器的声功率,这些乐器包括所有标准的现代管弦乐器,以及一些来自古典和巴洛克时期的历史前身乐器。在整个音高范围内,在动态范围的极值(强音和弱音)处录制单音。在随后的音频内容分析中,使用音色工具箱为所有3482个单音确定音频特征。为了分析音色和幅度相关特性对不同乐器中音乐力度表达的相对贡献,采用贝叶斯线性判别分析和广义线性混合建模来确定在乐器内部和不同乐器之间能最好地区分动态极值的那些音频特征。因此,这些测量和统计分析的结果全面呈现了所有标准管弦乐器在声功率和音色方面“音乐力度”的声学表现。