Extracting Speech Spectrogram of Speech Signal Based onGeneralized S-Transform

The algorithm enhances the traditional Stockwell transform (S-transform) by incorporating a low-pass filtering function and introducing two adjustable parameters. These parameters modify the Gaussian window function of the basic S-transform, resulting in the generalized S-transform with customizable time-frequency resolution.该算法通过引入低通滤波函数及两个可调参数，对传统Stockwell变换（S变换）进行了改进。这些参数可修改基础S变换的高斯窗函数，从而得到具有可定制时频分辨率的广义S变换。