自适应听觉感知时频分析模型
An adaptive perception based time-frequency analysis model
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摘要: 提出了一种具有强度自适应机制的仿听觉感知时频分析模型—Adaptive Ear Wig Distribution(AEWD),该模型是O'Donovan的Ear Wig Distribution(EWD)模型的扩展。AEWD的主要改进在于使用Patterson等近几年来提出的Cascade Compressive Gammachirp(Cascade cGC)模型,替换原有模型使用的Gammatone(GT)模型构造频域平滑窗,从而使AEWD模型具有了随输入信号功率而自适应调整的能力。相较于EWD模型,AEWD描述的时频分布更加符合听觉感知实际。最后,文中给出了一些典型信号的计算实例,说明了AEWD模型的有效性。Abstract: A model for time-frequency analysis based on adaptive perception function is given to simulate the auditory peripheral.This model is a direct extension of the ear wig distribution (EWD) that proposed by O'Donovan.The main improvement of the new model lies in the fact that the cascade compressive gammachirp (Cascade cGC) model for the gammatone model is substituted to construct the spectral window,and the ability of the signal's power adaptation is implemented.So,the distribution of the new model description is more accordant with auditory perception than that of the EWD model.In the end,computational examples applied to several typical signals are given to demonstrate the effectiveness for the proposed approach.