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Finally google has caught up to 1997: https://en.wikipedia.org/wiki/Dragon_NaturallySpeaking https://en.wikipedia.org/wiki/Dragon_NaturallySpeaking Sure it mig

by flukus 8y ago

Finally google has caught up to 1997: https://en.wikipedia.org/wiki/Dragon_NaturallySpeaking https://en.wikipedia.org/wiki/Dragon_NaturallySpeaking Sure it might work better now, but that's expected when computers are much more powerful than a pentium 100 with 32MB of RAM. Uploading voice to google servers for processing was always just a data grab.

gattilorenz 8y ago
Well, try to train your Dragon (no pun intended) and then let another person speak, possibly someone with a different accent. GBoard works somewhat reliably with 0 training and my Italian accent, that's an apple to oranges comparison.
- flukus 8y ago
  > Well, try to train your Dragon (no pun intended) The training was in part due to the hardware limitations. Some versions let you skip the training or have only a small training session and let it learn as it went, I'd be surprised if googles systems weren't doing some sort of continuous learning too. > and then let another person speak, possibly someone with a different accent. It had profiles to handle that, although it needed training for each profile. With google does it automatically switch profiles or does it mess up what it's learned about you're voice? It's very opaque. > GBoard works somewhat reliably with 0 training and my Italian accent, that's an apple to oranges comparison. I haven't tried the new system but all of google voice recognition has struggled with my Australian accent to the point of being unusable.
DSingularity 8y ago
is more than just newer hardware. These CNN/RNN based methods are vastly more robust than older bayessian/markov based methods.
- flukus 8y ago
  > These CNN/RNN based methods are vastly more robust than older bayessian/markov based methods. They were invented in the 80's, they weren't used because of limited processing power.
  - shereadsthenews 8y ago
    Can't imagine why you're being demoted for this accurate assessment. Current resurgence of machine learning is based on the realization that early 80s/90s academic research that was temporarily abandoned was not working only because they didn't have the hardware for a gigantic parameter space. Now we do have the hardware.
giobox 8y ago
I used Dragon dictation in the 90s. You had to spend an age just training it to your own specific voice and choose microphone carefully, neither of which are steps this requires. Not to mention the syntax for punctuation etc. So no, I would not argue this is catching up the the 90s.
ChrisClark 8y ago
They've had offline voice recognition since Honeycomb at least. This is just their newer/better system coming soon. If you wanted you could go into airplane mode right now and dictate a novel.
zoltar 8y ago
While not a demo of Dragon's NaturallySpeaking, I think of this video when someone mentions 90/00's-level consumer dictation software. For me, the video absolutely captured what it felt like to use those products. https://www.youtube.com/watch?v=MzJ0CytAsec https://www.youtube.com/watch?v=MzJ0CytAsec
deleted 8y ago
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by flukus 8y ago

gattilorenz 8y ago

Well, try to train your Dragon (no pun intended) and then let another person speak, possibly someone with a different accent. GBoard works somewhat reliably with 0 training and my Italian accent, that's an apple to oranges comparison.

flukus 8y ago
> Well, try to train your Dragon (no pun intended) The training was in part due to the hardware limitations. Some versions let you skip the training or have only a small training session and let it learn as it went, I'd be surprised if googles systems weren't doing some sort of continuous learning too. > and then let another person speak, possibly someone with a different accent. It had profiles to handle that, although it needed training for each profile. With google does it automatically switch profiles or does it mess up what it's learned about you're voice? It's very opaque. > GBoard works somewhat reliably with 0 training and my Italian accent, that's an apple to oranges comparison. I haven't tried the new system but all of google voice recognition has struggled with my Australian accent to the point of being unusable.

DSingularity 8y ago

is more than just newer hardware. These CNN/RNN based methods are vastly more robust than older bayessian/markov based methods.

flukus 8y ago
> These CNN/RNN based methods are vastly more robust than older bayessian/markov based methods. They were invented in the 80's, they weren't used because of limited processing power.
- shereadsthenews 8y ago
  Can't imagine why you're being demoted for this accurate assessment. Current resurgence of machine learning is based on the realization that early 80s/90s academic research that was temporarily abandoned was not working only because they didn't have the hardware for a gigantic parameter space. Now we do have the hardware.

giobox 8y ago

I used Dragon dictation in the 90s. You had to spend an age just training it to your own specific voice and choose microphone carefully, neither of which are steps this requires. Not to mention the syntax for punctuation etc. So no, I would not argue this is catching up the the 90s.

ChrisClark 8y ago

They've had offline voice recognition since Honeycomb at least. This is just their newer/better system coming soon. If you wanted you could go into airplane mode right now and dictate a novel.

zoltar 8y ago

While not a demo of Dragon's NaturallySpeaking, I think of this video when someone mentions 90/00's-level consumer dictation software. For me, the video absolutely captured what it felt like to use those products. https://www.youtube.com/watch?v=MzJ0CytAsec https://www.youtube.com/watch?v=MzJ0CytAsec

deleted 8y ago

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