4 ms·
Siri mis-hears about every other sentence I send her, so I'd say speech recognition is far from solved. But we are getting closer.
by hellofunk 10y ago
Siri mis-hears about every other sentence I send her, so I'd say speech recognition is far from solved.
But we are getting closer.
- simonh 10y agoYou're saying it wrong.
- kabes 10y agoMaybe, but good chance that a human would still understand what he means. So there's still a long way to go for AI.
- hellofunk 10y agoI think he was being sarcastic.
- romaniv 10y agoIt's hard to tell these days. Many people today fully accept the idea that human should adapt themselves to the existing machines and technologies, rather than design/adapt those machines and technologies to human needs.
- simonh 10y agoI should have put it in quotes, but it's too late to edit it.
- mediumdeviation 10y agoIt's a reference to Steve Job's infamous "You're holding it wrong" response[1] to complaints of iPhone 4's signal failing when held in a certain manner. [1]: http://www.engadget.com/2010/06/24/apple-responds-over-iphone-4-reception-issues-youre-holding-th/ http://www.engadget.com/2010/06/24/apple-responds-over-iphon...
- fossuser 10y agoExcept even shown in that link you've attached it was never said. The actual quote is, "Just avoid holding it in that way" which is different.
- luma 10y agoI don't feel like "getting the overall meaning of what you said" and "100% accurate voice transcription" are the same problems and comparing the two isn't fair. When I speak to you in a thick accent, it's OK if you only understand 1 out of 3 words because human-to-human communication is lossy and able to deal with misunderstood, misheard, or completely unintelligible data points. Transcription requires 100% percent accuracy because you want the written word to be exactly the same as the words that come out of your mouth. This is a much higher bar and is one that human-to-human speech rarely achieves.
- eva1984 10y agoTry google doc voice typing... works like magic. And Apple is not really good at machine learning either