Each horizontal slice of the spectrogram therefore represents ~94 Hz of bandwidth. You can increase resolution by using a larger FFT size (e.g. 1024, 2048), which allows for finer frequency detail ...
Harmonics: [96.5, 144.75, 193.0, 241.25, 289.5, 337.75, 386.0, 434.25, 482.5, 530.75, 579.0, 627.25, 675.5, 723.75, 772.0, 820.25, 868.5, 916.75] T = [np.exp(-2j * np ...
Abstract: The concept of the two-dimensional spectro-temporal modulation filtering of the auditory model is implemented for the FFT spectrogram. It analyzes the spectrogram in terms of the temporal ...
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