摘要
设计了目标辨识、语义细分和自适应分组成对比较等三组主观评价实验,研究不同音色属性对辨识声目标的作用.首先对50个水下声样本进行等响度、等时长预处理,完成了三种目标类型的主观辨识实验.然后完成基于语义细分法和自适应分组成对法的目标辨识实验,利用相关分析和聚类分析手段对评价数据进行处理,获得人耳听觉系统在自然音色和本质音色空间下辨识目标类型的结果.研究结果有助于掌握和理解人类听觉系统听音辨物过程中音色属性的作用,对音色属性建模及特征提取也有益处.
Three subjective evaluation experiments involving in target recognition, semantic differential (SD) and adaptive grouped paired comparison (AGPC) were designed and performed to investigate the effect of timbre attributes on acoustic target discrimination. Firstly, 50 sound samples of equalized loudness and duration were used to subjectively identify three kinds of targets. Then SD and AGPC based target discrimination experiments were carried out, and the experimental data were processed using coherence and clustering approach to explore the roles of the two kinds of timbres, natural timbre and essential timbre, in the identification of acoustic targets. This work provides some insight into timbre mechanisms inherent in auditory object identification and timbre modeling applied to auditory feature extraction and target recognition.
出处
《科学通报》
EI
CAS
CSCD
北大核心
2010年第8期651-659,共9页
Chinese Science Bulletin
基金
西北工业大学基础研究基金资助项目(编号:W018104)
关键词
音色属性
水下噪声
主观评价
目标识别
聚类分析
timbre attribute, underwater noise, subjective evaluation, target recognition, clustering analysis