isn't this a bitrate thing?
96k recording
44.1 mixing
Why? Because I can. lolz
No srsly. I record at 96 because the amount of samples taken a second gives a clearer representation of the waveform as it was in the analog domain. Then I just edit in 96 and convert to 44.1 (so the SRC to 44.1 has more samples to chose from)
96k recording
44.1 mixing
Why? Because I can. lolz
No srsly. I record at 96 because the amount of samples taken a second gives a clearer representation of the waveform as it was in the analog domain. Then I just edit in 96 and convert to 44.1 (so the SRC to 44.1 has more samples to chose from)
by audio resolution im talking about the amount of analog signal being sampled per second
its increased the higher the sample rate
this means more accurate representation of the analog signal, because analog is "infinite" as far as digital representation is concerned.
Some (most) amp sims work A LOT better at 88200 than at 44100 so for guitar tracks it is 88200/24 for me and 44100/24 for all the rest.
I say: IF YOU CAN WORK AT HIGHER SAMPLE RATES..........................THEN DO!
dithering is a process for maintaining apparent resolution while bringing the bit resolution down from 24 to 16 bits... and you still have to do that, irrespective of sample rate... as opposed to simply truncating.But also remember that when you work in 44,1k, you don't have to dither - what you hear is what you get. But when you work at a different sample rate, you have to down-sample and there will be aliasing/quantizing errors due to approximations. Those errors may or may not be heard.
In my simplistic way of looking at things, the 3 samples i mentioned before if you join the dots you get a triangle wave. Which is a pretty shocking approximation of a sine wave
why don't you mix in 96 and dither to 44/16 in master bus ?
About this, yes, in a way it is a triangle (or square) wave, but included in the DA conversion is a lowpass filter (after the conversion) at half the sample rate. A 22 kHz triangle wave consists of a 22 kHz sine plus some higher components, so when you low-pass at 22 you get back only the sine. (This is what the Nyquist theorem is about, you can reproduce all the components up to half the sample rate, but lose the rest.)
The Nyquist theorem unfortunately assumes you have unlimited precision for the samples, but in practice 24-bit should be enough.