An ABX with Foobar on my PC would actually reveal significant differences between CD and Hi-res at a very high level of confidence This is because depending on the sample rate, in my setup there are different and very noticable colorings of the sound. It's a basic system: Realtek AL888 onboard sound card and cheap Logitech 2.1 speakers.
Even assuming these reportedly audible difference really WOULD hold up under blind conditions (and it's not really sufficient to just claim they must; measurment evidence or blind testing would still be needed to support your claim) it is just as likely evidence of coloration in your setup, as for inherent audible difference between redbook.
Can you describe what happens, in more detail, at various SRs? The laptop I'm typing this on has an AL888 series integrated card on its motherboard. I use it to output digital audio at various sample rates via S/PDIF. There's no obvious coloration at different rates, but I would not expect there to be since it's just outputting data. Your setup, I gather, involves D/A conversion in your computer for analog output to your Logitechs.Despite turning off all DSP effects and such, there's still some manipulation that makes the test useless in this particular case, on my gear that is.
The ABX only tells you if A and B sound different. It doesn't tell you WHY, nor is it meant to. And again, why do you say there is no 'predefined hypothesis' in an ABX when there is clearly a null hypothesis?Which illustrates what I'm trying to explain about both (ABX/DBT and "home listening") methods: 1) There are hidden factors that can affect any listening test. 2) Lack of predefined hypothesis makes it more difficult to identify and eliminate the relevant factors. This is not only common sense, it is also common scientific methodology sense. But please bear in mind that it's not an argument against ABX tests itself but rather an observation on how they should be conducted.
Sorry, this bizarre view of dither just shows you need to better acquaint yourself with digital audio theory.Regarding the theoretical framework, I truly appreciate your efforts to explain the different aspects of applied signal theory. But I'm afraid I still have this hunch that you may be missing a couple of points. Firstly, the attempts to increase resolution and timing with for example dither seems to me very much like substituting the unpredictable and not possible to sample with something predictable and possible to handle within the model.
Secondly, I suspect that the Nyquist theorem holds if and only if the time function is invariable (same frequency content and amplitudes) during some time interval (I've even seen some mentionings about this in Wikipedia for the underlying maths, although I cannot remember where).
See above.
This is an overelaborate way of saying the Nyquist works because by definition it requires removing out-of-band signals.Putting these two things together, I end up with the feeling that in order to make digital sampling work we filter away the finest and unforeseeable details in the sound. In other words, we assume that music only contains what can be handled with our samples and then filter away whatever content that could eventually be beyond it's scope.
Which you seem to be unclear about. I can suggest two good books to start you off -- Nika Aldrich's 'Digital Audio Explained' and Ken Pohlmann's massive 'Principles of Digital Audio'Whether or not this hypothetic content is relevant or not for the listener is naturally a different story. As I said from the beginning, this part is about the theoretical framework.
And you need to understand that Shannon-Nyquist is probably one of the most well-tested theorems in existence.I'm of course not expecting to convince anyone about anything with this layman's talk of mine. As a matter of fact, I would be happy enough if I have made you understand my point of view on the Shannon-Nyqvist based signal theory.
Yes, if a difference is or is not revealed by an ABX, we should be ready to offer plausible reasons why. This is standard scientific practice too.As with the ABX method above, I'm not at all questioning the theorem itself. It's merely about some of the conclusions we draw from it.
The test itself does not tell you the reason. That usually requires other tests, like measuring differences in the outputs of the devices used in the test.