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I know that plotting frequency response graphs will show differences in actual SPLs at differing frequencies, just as using a meter can be used to measure the resistance, inductance, and capacitance in a cable, but how does one go about conducting, what seems to be the gold standard, a null test?
I think you have to stick one piece in each ear.
A very sophisticated and sensitive instrument.......................your ears.
Are you sure one piece will be enough? And what about my other bodily orifices?
But seriously, what is that you would be trying to determine with such a test?
Ok, then you might consider getting in touch with Ethan Winer, who seems to have experience and expertise with acoustic treatments and is familiar with running null tests.
I would agree that there is a LOT more to it than just frequency response. That said, static consistent measurements are really the only way to accurately measure FR and decay times, impulse responses, etc. I would also, however, agree that listening must take a place. There are simply things that we do not yet understand how to quantify. Bryan
Are you sure one piece will be enough? And what about my other bodily orifices? It seems that ears are not a reliable enough mechanism for repeatable, verifiable data. We're talking science here.
Listening and what sounds good are not science. You can measure all you want but the real test is how it sounds. $.02
Not to an engineer.
A number of things. I see a great deal of hyperbole being used to describe the changes that such and such room treatments make. It would be a good tool to correlate one manufacturers effectiveness to another, or whether the cost can be plotted against effectiveness. Also, it might be able to discern to what degree a component change might influence if a change is measured. For example, if you changed to speakers with a different directivity pattern you might influence the need for different degrees of reflection, absorption, diffusion, etc. A null test would quantify the results instead of relying on unreliable anecdotal opinions.
I'm not sure I would call what you are suggesting a null test, but as I understand it your suggestion is that the idea of differencing two signals might provide a way to get a handle on the magnitude of the difference. For example, eyeballing waterfall plots is pretty eye-glazing stuff - having just the "waterfall difference" would make it easier to see how much option A improved decay times vs option B. Is that the kind of thing?I'm not sure what the difference of a measured response when playing music would show, as it's more difficult to analyze.At any rate, I'm game to try it. Do you have measuring capability so we can compare results?