5 ms·

I am optimistic, AI winter is no longer the case this time. We almost solved image/speech recognition in the past 5 years. Once those works went out of academi

by eva1984 10y ago

I am optimistic, AI winter is no longer the case this time. We almost solved image/speech recognition in the past 5 years. Once those works went out of academia to real application, the amount of disruption to the current society is pretty hard to imagine.

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 ago
  You're saying it wrong.
  - kabes 10y ago
    Maybe, 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 ago
      I think he was being sarcastic.
      - romaniv 10y ago
        It'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 ago
        I should have put it in quotes, but it's too late to edit it.
    - mediumdeviation 10y ago
      It'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 ago
        Except 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 ago
      I 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 ago
  Try google doc voice typing... works like magic. And Apple is not really good at machine learning either
  - hellofunk 10y ago
    Google docs voice typing, which I've tried, has similar success rate for me as Siri.
    - the-dude 10y ago
      Don't talk with your mouth full ( which was actually suggested to me by some MS speech software around '00 ).
obmelvin 10y ago
We've made impressive progress but even with computer vision there is still a lot to do. For example, it's great that we can recognize certain objects are in a picture, but a lot of real-world applications depend on the exact location, e.g. image segmentation. Current state of the art models generate hundreds of similar object proposals which cannot realistically narrowed down to a single one to present to a user in an application.

by eva1984 10y ago

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 ago
You're saying it wrong.
- kabes 10y ago
  Maybe, 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 ago
    I think he was being sarcastic.
    - romaniv 10y ago
      It'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 ago
      I should have put it in quotes, but it's too late to edit it.
  - mediumdeviation 10y ago
    It'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 ago
      Except 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 ago
    I 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 ago
Try google doc voice typing... works like magic. And Apple is not really good at machine learning either
- hellofunk 10y ago
  Google docs voice typing, which I've tried, has similar success rate for me as Siri.
  - the-dude 10y ago
    Don't talk with your mouth full ( which was actually suggested to me by some MS speech software around '00 ).

obmelvin 10y ago

We've made impressive progress but even with computer vision there is still a lot to do. For example, it's great that we can recognize certain objects are in a picture, but a lot of real-world applications depend on the exact location, e.g. image segmentation. Current state of the art models generate hundreds of similar object proposals which cannot realistically narrowed down to a single one to present to a user in an application.