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What's so difficult about the subject that algorithm designers are having a hard time tackling it?
Is it really that complex?
I'm having a hard time grasping why this topic is so problematic. Can anyone give me an example as to why this is the case?
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Spoken language is context sensitive, ambiguous. Computers don't deal well with ambiguous commands.
If speech recognition was possible with substantially less MIPS than the human brain, we really could talk to the animals.
Evolution wouldn't spend all those calories on grey matter if they weren't required to do the job.
Well I have got Google Voice Search on my G1 and it works amazingly well. The answer is, the field is advancing, but you just haven't noticed!
beecos iyfe peepl find it hard to arnerstand uvver peepl wif e strang acsent wie doo yoo fink compootrs wyll bee ani bettre ayt it?
I bet that took you half a second to work out what the hell I was typing and all Iw as doing was repeating Simons answer in a different 'accent'. The processing power just isn't there yet but it's getting there.
I would expect some advances from Google in the future because of their voice data collection through 1-800-GOOG411
It's not my field, but I do believe it is advancing, just slowly.
And I believe Simon's answer is somewhat correct in a way: part of the problem is that no two people speak alike in terms of the patterns that a computer is programmed to recognize. Thus, it is difficult to analysis speech.