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Calculate Frequency Spectrum has odd distribution

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    Calculate Frequency Spectrum has odd distribution

    I’m using this node from the built-in audio visualization plugin and seeing something odd with it: the low end of the spectrum seems to have more energy—higher values—than it intuitively should. See the screenshot below (low end on the right)—there’s sort of a trumpet curve to it, which is present whatever music I feed in. Even near-silent parts of a song show a distinct increase in volume at the low ends of the spectrum. Anyone noticed this before? Is there some normalization factor I should be applying?

    #2
    Low frequencies aren't as audible. You can increase the strength behind them quite a bit before they enter into the perceived realm that you'd find high frequency signals. Hence why it takes a multi-hundred watt subwoofer to produce perceived sound levels that could otherwise be produced from a 15w mid/tweeter speaker.

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