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> Is the RPi gateway capable of local speech recognition that can compete with Siri, Alexa, Google? That seems unlikely, unless it has a dedicated processor for

by flukus 9y ago

> Is the RPi gateway capable of local speech recognition that can compete with Siri, Alexa, Google? That seems unlikely, unless it has a dedicated processor for that purpose. We were doing local speech recognition and full voice dictation back in the 90's through products like this (https://en.wikipedia.org/wiki/Dragon_NaturallySpeaking https://en.wikipedia.org/wiki/Dragon_NaturallySpeaking). Back then your typical computer had a 100Mhz processor and would be lucky to have 32MB of RAM. So yes, with 20 years of progress the much more powerful rasberry pi should be able to handle it just fine. Make no mistake, siri, alexa and google are spyware, they send your information to themselves because they want to, not because they have to.

Wehrdo 9y ago
There is a pretty big difference between the level of speech recognition that is offered by these smart devices, and what was being done 10-20 years ago. We're talking 80% accuracy (missing every fifth word), to now 95% accuracy (the entire sentence will likely be perfect). I have worked with several speech recognition softwares, and the ones which can run on a low-powered device in real-time today are not the ones reaching 95% accuracy.
- flukus 9y ago
  My experience has been different, I found dragon back in the day to be about 90-95% accurate, but today I find google to be about 50% accurate. An that's 50% accurate for some limited voice commands, which is a much lower standard than full voice dictation that dragon offered. Dragon was trained for me, google is trained for some mythical "everyone".
  - Wehrdo 9y ago
    Who am I to argue with your experience? I can only offer the current literature on the topic [0]. (They report a 5.1% error) > These systems typically use deep convolutional neural network (CNN) architectures ... driving the word error rate on the benchmark Switchboard corpus down from its mid-2000s plateau of around 15% to well below 10%. [0]: https://arxiv.org/pdf/1708.06073.pdf https://arxiv.org/pdf/1708.06073.pdf

by flukus 9y ago

Wehrdo 9y ago

There is a pretty big difference between the level of speech recognition that is offered by these smart devices, and what was being done 10-20 years ago. We're talking 80% accuracy (missing every fifth word), to now 95% accuracy (the entire sentence will likely be perfect). I have worked with several speech recognition softwares, and the ones which can run on a low-powered device in real-time today are not the ones reaching 95% accuracy.

flukus 9y ago
My experience has been different, I found dragon back in the day to be about 90-95% accurate, but today I find google to be about 50% accurate. An that's 50% accurate for some limited voice commands, which is a much lower standard than full voice dictation that dragon offered. Dragon was trained for me, google is trained for some mythical "everyone".
- Wehrdo 9y ago
  Who am I to argue with your experience? I can only offer the current literature on the topic [0]. (They report a 5.1% error) > These systems typically use deep convolutional neural network (CNN) architectures ... driving the word error rate on the benchmark Switchboard corpus down from its mid-2000s plateau of around 15% to well below 10%. [0]: https://arxiv.org/pdf/1708.06073.pdf https://arxiv.org/pdf/1708.06073.pdf