I'm referring to the acoustic linear response at your listening position, not the FFT display in an analyzer. Versus white noise, music tends to have a -4.5 to -3dB slope but rooms are not weighted to white noise so the slope is different. In rooms, you're talking about sound pressure decibels, dBSPL and that's referenced to atmospheric pressure in pascals.If you don't mind me asking, where did you get that number 1.5 from?For music production, you want a curve of 1.5dB/oct with the bass being louder.
I've heard people say that 4.5db/oct is about right for most analysing tasks, but then I heard that 3db/oct is more suitable for modern stuff, because it's closer to white noise or something![:o]( "Surprised")
I'm not the most knowledgeable person on these things, so I just set my slopes to 4db and don't worry about it.
Though, there is a chance we are not talking about the same thing?
I'm talking about using an analyser in music production.
So yeah, whether it's a 1dB/oct slope thereabouts with a shelf boost in the bass, it'll depend on what works best for you. Generally you don't want it to look flat which is why you use a slope vs 0dB/oct white noise reference for an FFT: to make it look flat. With an acoustic measurement, you want it to look sloped at your listening position. This allows you to hear the bass clearly and not add too much low end while ensuring you add enough high end.
As an aside that I'm not sure I mentioned, I use REW, EQAPO and MConvolutionMB for my speaker correction and room measurement. You use REW to measure and generate a filter profile, export it as an impulse response and text list then import it into the relevant program. Ezpz.
Statistics: Posted by Hexspa — Sat Mar 30, 2024 3:14 am