文章摘要
陈克安,伍莹,杨立学.基于Shamma模型的车辆噪声听觉谱特性与目标分类[J].,2011,30(6):407-417
基于Shamma模型的车辆噪声听觉谱特性与目标分类
Auditory spectral characteristics and target classification for vehicle noise based on Shamma’s model
  
中文摘要:
      为了满足现代交通对汽车类型自动识别的需求,针对等响度车辆噪声提出基于Shamma模型的听觉谱特性识别特征。首先分析了Shamma模型中听觉早期阶段和听皮层多尺度分析阶段的转换原理,给出了中枢听觉模型中STRF模型及纹波密度-速率图的计算方法。利用三类车辆空转状态下噪声的幅频、听觉谱和密度-速率特性进行分类识别,发现密度-速率特征具有识别率高、计算量小的特点,更适宜用于作为目标自动识别特征。
英文摘要:
      In order to meet the needs of automatic identification of the types of vehicle, auditory spectrum characteristics based on Shamma’s model is proposed to identify characteristics for equal-loudness vehicle noise. Firstly, the transition principle of the early auditory stages and the cortical multi-scale analysis stage of this model is analyzed, and the calculation method of the STRF model of the central auditory model and ripple scale-rate chart are given. Then, classification and identification by amplitude-frequency characteristics, auditory spectral characteristics and scale-rate characteristics for three types of idling state vehicles noise are carried out. It is found that the scale-rate based features have high recognition rate and small calculation work, and are more suitable to use as automatic target recognition
DOI:10.11684/j.issn.1000-310X.2011.06.002
中文关键词: 车辆噪声  听觉谱  谱时响应野  密度-速率图  目标分类
英文关键词: 
基金项目:
作者单位
陈克安 西北工业大学航海学院环境工程系 
伍莹 西北工业大学航海学院环境工程系 
杨立学 西北工业大学航海学院环境工程系 
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