基于听觉中枢模型的水下噪声音色表达与特性分析

Timbre representation and property analysis of underwater noise based on a central auditory model

为建立水下噪声音色特征的定量表达以用于目标识别,本文将主观评价实验获得的4个本质音色维度得分与声音的听觉中枢响应建立联系,得到音色的偏最小二乘回归模型,并基于回归系数对每个维度进行物理分析.为验证该方法的有效性,本文提取大量音色描述符作为自变量进行对比,结果表明听觉中枢模型预测能力有一定优势.同时发现,前3个本质音色维度可分别由高频能量比例、谱平坦程度和时域连续性描述,而第4维度则无法与任何声学特征建立联系.

In order to establish quantitative timbre representation of underwater noise, this paper tries to build a relationship between essential timbre scores and central auditory responses to stimulus based on partial least squares regression, and use regression coefficients to interpret the physical meaning of each dimension. In order to verify the utility of this method, this paper extracts a large amount of timbre descriptors as independent variables for comparisons, and it is shown that the predictive ability of the central auditory model is better. Finally it is found from two types of timbre representations that the first three dimensions in the timbre space can be respectively interpreted as high-frequency energy ratio, spectral flatness and temporal continuity; however, dimension 4 cannot be related to any acoustical features.