Stavropoulos Trevor A, Isarangura Sittiprapa, Hoover Eric C, Eddins David A, Seitz Aaron R, Gallun Frederick J
Brain Game Center for Mental Fitness and Well-being, University of California, Riverside, California 92521, USA.
Department of Communication Sciences and Disorders, Mahidol University, Bangkok, Thailand.
J Acoust Soc Am. 2021 Mar;149(3):1434. doi: 10.1121/10.0003604.
Traditionally, real-time generation of spectro-temporally modulated noise has been performed on a linear amplitude scale, partially due to computational constraints. Experiments often require modulation that is sinusoidal on a logarithmic amplitude scale as a result of the many perceptual and physiological measures which scale linearly with exponential changes in the signal magnitude. A method is presented for computing exponential spectro-temporal modulation, showing that it can be expressed analytically as a sum over linearly offset sidebands with component amplitudes equal to the values of the modified Bessel function of the first kind. This approach greatly improves the efficiency and precision of stimulus generation over current methods, facilitating real-time generation for a broad range of carrier and envelope signals.
传统上，频谱-时间调制噪声的实时生成是在线性幅度尺度上进行的，部分原因是计算限制。由于许多感知和生理测量与信号幅度的指数变化呈线性比例关系，实验通常需要在对数幅度尺度上呈正弦变化的调制。本文提出了一种计算指数频谱-时间调制的方法，表明它可以解析地表示为线性偏移边带的总和，其分量幅度等于第一类修正贝塞尔函数的值。与当前方法相比，这种方法大大提高了刺激生成的效率和精度，便于为广泛的载波和包络信号进行实时生成。
