11/4/2022 0 Comments Fuzzmeasure pro on ipadWhen I get some time, I will post the uncorrected and corrected impulse response of my system that correlates with the flat frequency response I posted above.Īs promised, here is the measured impulse response of my system, before and after digital room correction, at the listening position:Īlmost identical to the quoted picture above, but even better (less ringing). There is a ton of information on both frequency and time domain correction at: DRC: Digital Room Correction Here is an example of before and after correction on an impulse response: FUZZMEASURE PRO ON IPAD SOFTWAREMost DRC software corrects both in the frequency and time domain: Sound correction in the frequency and time domain I would very much welcome being corrected by some of the many experts hiding in the folds of this forum. These are just my own thoughts based on the reading I've done. (since as I understand it, it intentionally ignores some important aspects of the influence of the room itself) It makes for a very "pretty" graph that makes one feel good about their alleged system response and can certainly aid in improving some of the aspects of a system's sound.but may lead one to an inaccurate assessment of their "room correction". This method (perhaps inappropriately) tosses out interesting room effects like bass modes and comb filtering. This idealized assumption may vary in accuracy across the frequency spectrum.Īnother measurement approach I've seen is to apply an impulse (one cycle of a square wave) to the system and then measure its response and calculate a theoretical frequency response based on this very short measurement. Of course this RTA assessment assumes that your app is applying a perfect 1/3 octave filter for each bar it displays. In this way, each 1/3 octave bar is being excited by an equal amount of energy. If on the other hand you are looking at one of the many apps that shows a bar for each 1/3 octave, where the bars dynamically change over time, constantly showing you the current average power for each 1/3 octave, then you should supply pink noise to the system to see a flat RTA curve. An alternative to this would be to apply white noise and measure the microphone output with a very high Q filter moving across the freq. Then apply X volts to the input at 21 hz and measure the output from the mic and graph that. To put this another way, apply X volts to the inputs of the amplifier at 20 hz and measure the output from the microphone and graph it. Not sure I'm right, but where my thoughts on the matter wound up was that if you are looking at the results of a graph that shows frequency response measured and plotted point for point for a large number of frequencies from a frequency sweep (as with most of the response curves shown in this thread), then white noise should read as flat. I see people saying they use pink noise and have an (approximately) flat line, so how does that happen? 2.So should we use pink noise or white noise to do these sorts of measurements? Full-scale input is achieved with the gain control set a little before 12 o’clock. To get line-level signals, use the TRS input of combo jack 2 and turn on the “Hi-Z” switch. 1.o V RMS is obtained with the output level set just past 12 o’clock. The line input is the best option for performing loopback tests. Level calibrationįull-scale output on the UA-25EX is 4.6V RMS. FUZZMEASURE PRO ON IPAD MACThese are Mac programs but there are Windows equivalents. The measurement programs that I am using are FuzzMeasure Pro and the Electroacoustics Toolbox. Since I’m hoping to get a review out of the newer soundcards, I thought the older one would be a good example to use for this, as it also provides a reference to demonstrate how dramatically technology (for a given cost) has improved in a few short years. I’m using this one as an example because I’m replacing it. This is an example of the measurement protocol described in A simple test protocol for USB/Firewire soundcards.
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