摘要
粗糙度是评价声音幅度变化的一个基本的心理声学参数。针对人耳基底膜的滤波特性,提出了一种基于等效矩形带宽(ERB)的心理声学粗糙度模型。模型通过划分ERB尺度为75个滤波通道,计算幅度调制信号的广义调制指数,然后通过加权滤波并求和得到总的粗糙度。数值计算结果验证了模型对于幅度调制信号粗糙度计算的准确性,并且对于诸如调频信号、未调制信号等非幅度调制信号,模型的计算结果也有较好的一致性。特别是对于非调制信号,模型的计算结果与主观低粗糙感对应良好。
As a basic psychoacoustic parameter,roughness is used to evaluate amplitude variations.According to filter characters of basilar membrane,roughness model is proposed based on equivalent rectangular bandwidth（ERB）.By setting 75 filter channels on the ERB-scale,generalized modulation depth is calculated,weighted,filtered and summed to get the overall roughness.Numerical calculation results verify the validity of the model for calculating amplitude modulation signal＇s roughness.The proposed model also behaves better coherence to jury test data while being used for non amplitude modulation signals such as frequency modulation signal and unmodulated signals.Especially for unmodulated signals,the model ensures a correct calculated roughness in accordance with the subjectively sensed low roughness.
出处
《声学技术》
CSCD
2011年第2期161-166,共6页
Technical Acoustics
关键词
心理声学
粗糙度
等效矩形带宽(ERB)
广义调制指数
psychoacoustics
roughness
equivalent rectangular bandwidth（ERB）
generalized modulation depth
