I'm starting this thread as a branch from the "Conclusive "Proof"" thread to hopefully allow some interesting recent posts to be expanded.
That thread reported positive ABX results between 24/96KHz files & the downsampled version of those files (the details of this will be found in the original thread).
Responses to these reports hopefully give rise to an attempt at finding what is the underlying cause of the audible differences between these files.
Suggested explanations have been put on the table to account for this audible difference:
- ultrasonic energy in the Higher resolution files resulting in intermodulation distortion that can fold down into the audio range or be audibly noticeable
- Software that has been used to do the resampling has some flaws which introduce audible issues in the downsampled file
There may be other suggested explanations that I'm forgetting but so far I don't believe that any suggestion fully explains the positive results.
Underlying these suggested explanations is a premise that there is a disconnect between the mathematically perfect model definitions & their real-world implementations in software or silicon. This is particularly relevant & the commonest point of contention in digital audio.
I've seen it often suggested in response to people reporting hearing differences when a certain change/tweak is made - that it's because their system is broken in some way & that's why they are hearing the difference. It's a response that I find has more than a grain of truth to it while, at the same time, ignoring reality. My experience tells me that we are using systems (including software) that are not perfect & don't behave according to & produce results predicted by the mathematical models that underpin their operation. I presume that there are various approximations used for many reasons - expediency, economics or ignorance - that lead to results which can be measured & justified (within a certain framework).
So in the spirit of learning how things really are, I'm interested in hearing about the prevalence of such differences between the ideal models & their implementation. Also interested in the further, more difficult question, of the audibility of these difference as this is the final arbiter of their importance
Now some interesting recent posts on that thread touched on these points
- Tony Lauck did a mathematical/digital simulation test of a published 5th order sigma-delta modulator & found it's resolution to not come near 16bits. I woud be interested in hearing more about this & how it could be so wrong.
- Mention of the issue of noise modulation in sigma-delta DACs which I first came across in a presentation by the chief engineer of ESS at the time, Mallinson
- Considering that a DC sweep reveals such an issue it led me to consider why such a simple test result was not being reported for DACs & about datasheets, in general
- I recently came across measurements of the ES9018 flagship DAC from ESS showing this noise jump at about -35dB which seems to be different between the 8 output channels
- Furthermore it appears that digital clipping occurs when the oversampling filter is operational - a problem that was suggested is common to many S-D DACs
That thread reported positive ABX results between 24/96KHz files & the downsampled version of those files (the details of this will be found in the original thread).
Responses to these reports hopefully give rise to an attempt at finding what is the underlying cause of the audible differences between these files.
Suggested explanations have been put on the table to account for this audible difference:
- ultrasonic energy in the Higher resolution files resulting in intermodulation distortion that can fold down into the audio range or be audibly noticeable
- Software that has been used to do the resampling has some flaws which introduce audible issues in the downsampled file
There may be other suggested explanations that I'm forgetting but so far I don't believe that any suggestion fully explains the positive results.
Underlying these suggested explanations is a premise that there is a disconnect between the mathematically perfect model definitions & their real-world implementations in software or silicon. This is particularly relevant & the commonest point of contention in digital audio.
I've seen it often suggested in response to people reporting hearing differences when a certain change/tweak is made - that it's because their system is broken in some way & that's why they are hearing the difference. It's a response that I find has more than a grain of truth to it while, at the same time, ignoring reality. My experience tells me that we are using systems (including software) that are not perfect & don't behave according to & produce results predicted by the mathematical models that underpin their operation. I presume that there are various approximations used for many reasons - expediency, economics or ignorance - that lead to results which can be measured & justified (within a certain framework).
So in the spirit of learning how things really are, I'm interested in hearing about the prevalence of such differences between the ideal models & their implementation. Also interested in the further, more difficult question, of the audibility of these difference as this is the final arbiter of their importance
Now some interesting recent posts on that thread touched on these points
- Tony Lauck did a mathematical/digital simulation test of a published 5th order sigma-delta modulator & found it's resolution to not come near 16bits. I woud be interested in hearing more about this & how it could be so wrong.
- Mention of the issue of noise modulation in sigma-delta DACs which I first came across in a presentation by the chief engineer of ESS at the time, Mallinson
- Considering that a DC sweep reveals such an issue it led me to consider why such a simple test result was not being reported for DACs & about datasheets, in general
- I recently came across measurements of the ES9018 flagship DAC from ESS showing this noise jump at about -35dB which seems to be different between the 8 output channels
- Furthermore it appears that digital clipping occurs when the oversampling filter is operational - a problem that was suggested is common to many S-D DACs
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