论文:2015,Vol:33,Issue(3):444-450
引用本文:
杨立学, 陈克安, 李双, 周静, 黄文超, 侯峰. 飞机舱内声品质的音色参数表达[J]. 西北工业大学学报
Yang Lixue, Chen Ke'an, Li Shuang, Zhou Jing, Huang Wenchao, Hou Feng. Timbre Parameter Representations of Aircraft Cabin Sound Quality[J]. Northwestern polytechnical university

飞机舱内声品质的音色参数表达
杨立学1, 陈克安1, 李双2, 周静1, 黄文超3,4, 侯峰3,4
1. 西北工业大学 航海学院, 陕西 西安 710072;
2. 苏州大学 城市轨道交通学院, 江苏 苏州 215006;
3. 中航工业集团 飞机强度研究所, 陕西 西安 710065;
4. 航空噪声与动强度航空科技重点实验室, 陕西 西安 710065
摘要:
为有效地描述噪声音色对飞机舱内声品质的影响,开展了3组主观评价实验:不相似度评价、语义细分和偏好度成对比较。首先,不相似评价实验表明,飞机舱内噪声的音色可由一个4维空间表示;然后,回归分析发现后2个维度与语义细分尺度具有关联,其中维度3可描述为"轰鸣的"和"低沉的",而维度4可描述为"刺耳的"和"有节奏的";接着,利用4个声学参数(噪度、ERB谱峰度、短时谱偏度和ERB谱变化)得到了音色空间每个维度的定量表达;最后,通过分析被试偏好度和4个音色参数间的关系,发现偏好度较高的声音具有较少的线谱、随机性较强,同时其频谱具有平坦对称的分布。
关键词:    不相似度    多维尺度分析    语义细分    偏好度    音色参数   
Timbre Parameter Representations of Aircraft Cabin Sound Quality
Yang Lixue1, Chen Ke'an1, Li Shuang2, Zhou Jing1, Huang Wenchao3,4, Hou Feng3,4
1. College of Marine Science and Technology, Northwestern Polytechincal University, Xi'an 710072, China;
2. School of Urban Rail Transportation, Soochow University, Suzhou 215006, China;
3. Institute of Aircraft Strength, China Aviation Industry Corp, Xi'an 710065, China;
4. Aviation Science and Technology Key Laboratory of Aircraft Noise and Vibration Engineering, Xi'an 710065, China
Abstract:
In order to describe the influences of noise timbre on aircraft cabin sound quality, three groups of subjective evaluation experiments were conducted, including dissimilarity evaluation, semantic differential, and preference comparison. Firstly, the results of dissimilarity evaluation indicated that the timbre of aircraft cabin noises could be described with a four-dimensional space. Secondly, the regression analysis revealed that the latter two dimensions were related to semantic scales, in which dimension 3 was interpreted as roaring and muffled, and dimension 4 was interpreted as harsh and rhythmic. Thirdly, four acoustic parameters (noisiness, ERB spectral kurtosis, short-time spectral skewness, and ERB spectral variation) were derived to obtain the quantitative interpretation of each dimension. Finally, by analyzing the relationship between the preference scores on the one hand and the four timbre parameters on the other hand, it was illustrated that a preferable sound should have almost no tones and was random, while its spectrum should possess a flat and symmetrical distribution.
Key words:    acoustic variables control    acoustic variables measurement    aircraft    cabins (aircraft)    cluster analysis    computer software    design    design of experiments    experiments    Fourier transforms    linear regression    MATLAB    normal distribution    principal component analysis    parameterization    regression analysis    semantics    time domain analysis    psychoacoustics    sound quality    timbre.   
收稿日期: 2015-01-09     修回日期:
DOI:
基金项目: 航空科学基金(21031553018)资助
通讯作者:     Email:
作者简介: 杨立学(1989—),西北工业大学博士研究生,主要从事环境声听觉感知和声品质评价研究。
相关功能
PDF(1619KB) Free
打印本文
把本文推荐给朋友
作者相关文章
杨立学  在本刊中的所有文章
陈克安  在本刊中的所有文章
李双  在本刊中的所有文章
周静  在本刊中的所有文章
黄文超  在本刊中的所有文章
侯峰  在本刊中的所有文章

参考文献:
[1] USA Acoustical Terminology S1[S]. American Standard Association, 1960: 1-160
[2] Bismarck G V. Sharpness as an Attribute of the Timbre of Steady Sounds[J]. Acustica, 1974, 30: 159-172
[3] 陈克安. 环境声的听觉感知与自动识别[M]. 北京:科学出版社,2014: 167-222 Chen Kean. Auditory Perception of Environmental Sounds and Its Automatic Recognition[M]. Beijing: Academic Press, 2014: 167-222 (in Chinese)
[4] Zwicker E, Fastl H. Psychoacoustics: Facts and Models[M]. Berlin: Springer Verlag, 1990: 239-264
[5] Misdariis N, Minard A, Susini P, Guillaume L, McAdams S, Parizet E. Environmental Sound Perception: Metadescription and Modeling Based on Independent Primary Studies[J]. Eurasip J Audio Spee, 2010, 3: 1-26
[6] Barbot B, Lavandier C, Cheminee P. Perceptual Representation of Aircraft Sounds[J]. Appl Acoust, 2008, 69: 1003-1016
[7] 王娜. 水下噪声的音色属性分析及其分类识别研究[D]. 西安:西北工业大学,2010 Wang Na. Timbre Attribute Analysis and Target Recognition for Underwater Noise[D]. Xi'an: Northwestern Polytechnical University, 2010 (in Chinese)
[8] 杨立学,陈克安,周静. 客机舱内声品质主观描述词研究[J]. 噪声与振动控制,2014,34: 52-55 Yang Lixue, Chen Kean, Zhou Jing. A Primary Study on Subjective Descriptors of Jet Cabin Sound Quality[J]. Noise and Vibration Control, 2014, 34: 52-55 (in Chinese)
[9] Carrol J D, Chang J. Analysis of Individual Differences in Multidimensional Scaling via an N-Way Generalization of "Eckart-Young" Decompositions[J]. Psychometrika, 1970, 35: 283-319
[10] Peeters G, Giordano B L, Susini P, Misdariis N, McAdams S. The Timbre Toolbox: Extracting Audio Descriptors from Musical Signals[J]. J Acoust Soc Am, 2011, 130(5): 2902-2916