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Nov 29, 2014 at 4:30 comment added musicallinguist @user3898238 I'm more of an expert on human speech perception than on automated speech recognition. I can tell you with confidence that the types of errors an automated system makes depends on the algorithms used by the system. I'm also going to go out on a limb and say that the sets of sounds that are ambiguous over the phone for machines and for humans are probably quite similar in general, but that humans have a leg up because they can overcome some ambiguities with certain types of pragmatic expectations that aren't programmed into the machines.
Nov 29, 2014 at 0:16 comment added ruakh +1. I first discovered this problem when I had college friends named 'Jeff' and 'Jess'. Phone conversations among their mutual friends were frequently derailed by this problem. It wasn't even that we couldn't tell which one was mentioned -- what made it such a problem is that we would often think we'd heard one name when in fact the other had been said.
Nov 28, 2014 at 23:38 comment added user3898238 As a follow-up, are machine phoneme perception errors transitive, e.g. if a machine has difficulty with some sounds, will it always be the case that a human would too (over a noisy environment like the phone)? Or are there some perception errors that would be expected for a machine but not a human, i.e. the set of sounds which are ambiguous is not the same for both machine/human?
Nov 28, 2014 at 21:19 vote accept user3898238
Nov 28, 2014 at 20:18 history answered musicallinguist CC BY-SA 3.0