But the information is captured, even if the signal to noise ratio is very low. There are audio restoration tools nowadays that work amazingly well, some even using AI(or claiming to) - so even if you have a recording where it sounds just like plain noise, there is still some capacity of extracting the signal you need out of it. That's mostly because the background noise is not random, it is of a certain pattern, constant and repeating and therefore can be captured and cancelled. Then the actual signal we need, which differs from the noise pattern, stands out.