The human voice is much more complex than it might seem from looking at the waveform view. Each word is made up of a fundamental frequency (at the bottom of the spectrogram), harmonics that extend above that frequency, sibilance (“S” sounds) that begin or end words, and more. And of course, you can now see more clearly the noise that is surrounding the voice.
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This is why having a detailed spectrogram display is so important to doing audio restoration. It helps you clearly see the problems that you’re trying to fix.
How to fine-tune the display
Izotope Rx View Spectrogram 2017
Not all spectrograms are created equal. An algorithm known as the “Fast Fourier Transform,” or FFT for short, is used to compute this visual display. Many products that feature a spectrogram display allow you to adjust the size of the FFT, but what does this mean for audio repair and restoration? Changing the FFT size will change the way the algorithm computes the spectrogram, causing it to look different. Depending on the type of audio you’re working with and visualizing, this may help.
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As a rule, higher FFT sizes give you more detail in frequencies (frequency resolution), while lower FFT sizes give you more detail in time (time resolution).
If you’re trying to identify a plosive, mic handling noise, or other muddy low-frequency information, a higher FFT size in your spectrogram settings will help. If you’re trying to identify a high frequency event, or working with a transient signal (such as a percussion or drum loop), choose a lower FFT size.
Izotope Rx View Spectrogram Software
The following image is of a drum loop in a live concert setting, with a member of the audience whistling. You can see how the different FFT sizes affect the way we see high vs. low frequencies, as well as transients vs. sustained notes.
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