Newbie question: how do we know we can trust the microphone? It sounds like a chicken-and-egg problem to equalize speakers with an equalized microphone, but maybe microphones are simpler and can be assumed to be equalized ?
You’ll need a calibration curve for the microphone. Even of the same model, there is a lot of variance.
Show HN: HiFiScan, a Python app to optimize your loudspeakers
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Re: Show HN: HiFiScan, a Python app to optimize your loudspeakers
#12Newbie question: how do we know we can trust the microphone? It sounds like a chicken-and-egg problem to equalize speakers with an equalized microphone, but maybe microphones are simpler and can be assumed to be equalized ?
Re: Show HN: HiFiScan, a Python app to optimize your loudspeakers
#13Newbie question: how do we know we can trust the microphone? It sounds like a chicken-and-egg problem to equalize speakers with an equalized microphone, but maybe microphones are simpler and can be assumed to be equalized ?
You’ll need a calibration curve for the microphone. Even of the same model, there is a lot of variance.
Re: Show HN: HiFiScan, a Python app to optimize your loudspeakers
#14Re: Show HN: HiFiScan, a Python app to optimize your loudspeakers
#15I'd say the worse your setup (especially your room) the more magic it does.
I did it without an individually calibrated mic though (but with a decent measuring one), wonder how much better it could be.
Re: Show HN: HiFiScan, a Python app to optimize your loudspeakers
#16Earlier quoted context omitted.
You’ll need a calibration curve for the microphone. Even of the same model, there is a lot of variance.
Anyone interested in this area should also know that above ~2 kHz it doesn't matter what you do for magnitude equalization because you'll be dominated by sub mm variations in position and direction. The only way to get any amount of repeatability above 2 kHz is with IEMs.
Re: Show HN: HiFiScan, a Python app to optimize your loudspeakers
#17Earlier quoted context omitted.
Anyone interested in this area should also know that above ~2 kHz it doesn't matter what you do for magnitude equalization because you'll be dominated by sub mm variations in position and direction. The only way to get any amount of repeatability above 2 kHz is with IEMs.
This is dealt with by smoothing the spectrum in a way to preserves the power density. The constructive and destructive interference then cancel each other out.
Re: Show HN: HiFiScan, a Python app to optimize your loudspeakers
#18I'm using the commercial https://www.sonarworks.com/soundid-reference and it's amazing. I'd say the worse your setup (especially your room) the more magic it does. I did it without an individually calibrated mic though (but with a decent measuring one), wonder how much better it could be.
Re: Show HN: HiFiScan, a Python app to optimize your loudspeakers
#19I'm using the commercial https://www.sonarworks.com/soundid-reference and it's amazing. I'd say the worse your setup (especially your room) the more magic it does. I did it without an individually calibrated mic though (but with a decent measuring one), wonder how much better it could be.
Is it affordable for mortals or is this a business only offering?
A bit sad, because it might do most for less expensive speakers and untreated rooms.
Re: Show HN: HiFiScan, a Python app to optimize your loudspeakers
#20https://en.wikipedia.org/wiki/Digital_room_correction
I don't remember the exact order but way, way, way before the $10 K USD digital audio cable snake oil, audiophiles are going to say that DRC is the second single biggest thing that can enhance the quality of your setup (the first one being which speakers you're using and how you place them). Then source quality/amp/dac. And only way further down the line, for those who believe in voodoo, $10 K digital audio cables.