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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
by 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 agoMy 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 agoWho 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