基于多元线性Logistic回归模型的小号演奏中气息控制与音色质量  

Breath Control and Timbre Quality in Trumpet Playing Based on Multivariate Linear Logistic Regression Model

作　　者：张新宇 ZHANG Xinyu(Music and Dance Academy,Zaozhuang University,Zaozhuang 277160,China)

机构地区：[1]枣庄学院音乐与舞蹈学院,山东枣庄277160

出　　处：《枣庄学院学报》2023年第2期28-35,共8页Journal of Zaozhuang University

摘　　要：通过多元线性Logistic回归分析模型构建假设模型,包括被解释变量、控制变量、解释变量三种类型,利用主成分分析法建立指标体系,利用PLS-SEM模型对8个变量完成定量研究和实证分析。结果显示:多元线性Logistic回归模型8个变量的P值均低于0.05,标准系数的取值范围为0.152~0.823,回归方程的拟合优度为96.63%。运指、乐器、气息控制、腹部肌肉群应用、面部肌肉群应用、口腔共鸣应用、演奏力度、吐舌力度均能对音色质量起到作用。The hypothesis model is built through the multiple linear logistic regression analysis model,including three types of explained variables,control variables and explanatory variables.The indicator system is established by the principal component analysis method,and the quantitative research and empirical analysis of eight variables are completed by the PLS-SEM model.The results showed that the P value of the eight variables of the multiple linear logistic regression model was lower than 0.05,the range of standard coefficient was 0.152~0.823,and the goodness of fit of the regression equation was 96.63%.Finger movement,musical instruments,breath control,abdominal muscle group application,facial muscle group application,oral cavity resonance application,playing strength,tongue uttering strength can all play a role in timbre quality.

关 键 词：小号演奏 气息 音色 MATLAB 

分 类 号：J621.6[艺术—音乐]