mike_mccue
brconflict
Something else to consider with higher sampling rates, I didn't see in this thread (or overlooked): Accurate clocking. The higher the sample rates, the more accurate your clocking needs to be, since jitter and component issues may become more of a problem. This is why you see these oven-baked atomic clocks offered up from Antelope, for example.
If you're sampling at 192Khz with a low-quality clock, you may stand to benefit from halving the sampling rate and improving transient materials, for example. It could be a noticeable improvement.
I thought the conventional wisdom was the opposite of this. Back in the day overclocking was a strategy to mask clocking inaccuracy. As clocks became more stable and accurate, overclocking was deprecated in a lot of hi end audio playback gear, to the point where people were uninstalling the overclocking pieces/parts from their CD players and installing new improved replacement clocks as upgrades became popular.
Is oversampling similar? Will oversampling make the results of clock that drifts by some small percentage seem like smaller absolute timing errors or is the effect of a clock spread evenly across the duration of the recording?
Oversampling and over-clocking are very different, but I think I know what you're saying. We've over-sampled in the past to better remove sampling errors, caused mainly by read-errors on the source audio. For example, if you sampled 32-times a single input to create one resulting sample, there's a very high chance of accuracy vs. 2 or 3 times over-sampling.
However, when you're transmitting audio from one place to another, at some point the data is placed on the wire, which either is a buffered process, such as Ethernet, or USB, for example. In that process, there's two major ways this can be done. 1) Bit-by-bit, best-effort, which can lose bits of data or, 2) With error-checking, which causes jitter and delay because lost bits may be re-transmitted or corrected which adds delay. When placing bits on the wire, the higher clocking rates are more susceptible to noise and errors.
Jitter in itself might be the same whether the sample rate is low or high. Think of trying to read poker cards if your hands are jittery. If the cards are tiny (high sample rate), reading them correctly might be tough. If the cards are very large in size, you will certainly have an easier time reading them (low sample rate). Of course, if your eyes were trained to jitter right along with your hands, you could read the cards better. This is just a crude example, but the point is, the smaller the samples, the more difficult they are to read accurately in some scenarios.
Technology advances improve this ability in audio, but it's still less of a challenge for cheaper A/D equipment to sample and transmit the audio at slower speeds.