一种频域合成房间频率响应的人工混响方法

给出了一种频域合成房间频率响应的方法用于卷积法人工混响,基于频域内房间频率响应的后期部分为高斯随机过程的假设,用自回归滑动平均模型为其自协方差函数和功率谱密度进行参数化描述,在对自回归滑动平均模型中的参数求解后,通过逆滤波得到了房间频率响应后期部分,与房间频率响应前期部分组合后经过傅里叶反变换得到完整的房间脉冲响应。仿真结果表明该方法的混响效果与镜像源法接近,明显优于反馈延迟网络法,但其计算复杂度比镜像源法低,便于实时应用。

Artificial reverberation by synthesizing room frequency response in the frequency domain

A convolution based artificial reverberation method is introduced, where the late part of the room frequency response is modelled as a complex Gaussian random process in the frequency domain, the auto-covariance function and power spectral density are parameterized by an autoregressive moving average (ARMA) model; Then the ARMA parameters are estimated and the room frequency response is obtained by inverse filtering in the frequency domain; The time domain room impulse response is finally obtained using the inverse Fourier transform of the room frequency response. Simulation results show that the introduced method gives better reverberation effect than the feedback delay network method, while it has lower computational complexity than the image source method, thus could be used in real time applications.