中文摘要：

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。

英文摘要：

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.