基于不相似度评价的水下声目标分类与听觉特征辨识  

Underwater acoustic target classification and auditory feature identification based on dissimilarity evaluation

作　　者：杨立学[1] 陈克安[1] 张冰瑞[1] 梁雍[1] 

机构地区：[1]西北工业大学航海学院环境工程系,西安710072

出　　处：《物理学报》2014年第13期236-245,共10页Acta Physica Sinica

基　　金：国家自然科学基金(批准号:11074202)资助的课题~~

摘　　要：本文旨在探索人类被试对水下声目标的感知分类及在该过程中所利用的听觉特征.首先设计了成对比较实验.然后利用CLASCAL算法对实验获得的不相似度评分进行建模,获得感知空间,并分析了3个公共维度、特异性和3个被试潜类各自的特性及其在目标感知分类中所起的作用.最后,基于Gammatone听觉滤波器组对声样本进行分析,发现了能够有效描述3个公共维度以及节拍特性的听觉特征,并利用它们构造决策树对新样本实现了分类,从而为实际中如何应用这些特征提供了指导.The purpose of this study is to explore perceptual classification of underwater acoustic targets and auditory features used by human being. First, we design a paired comparison experiment. Then we use the CLASCAL algorithm to model the dissimilarity ratings as a perceptual space, and analyze the properties in three common dimensions, specialties, 3 subjects’ latent classes and their roles in target perceptual classification. Finally, based on the gammatone filterbank, we find some auditory features that can effectively underlie 3 common dimensions and beat properties, so as to use them to construct a binary decision tree to classify some new samples; thus we can provide some guidance about how to use these features in practical applications.

关 键 词：水下声目标分类 不相似度 多维尺度分析 听觉特征 

分 类 号：O427[理学—声学]