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"Should be closed-loop" is an interesting assumption that I'm not convinced aligns with the reality of the technology. To what extent has speech recognition bee
by fixermark 9y ago
"Should be closed-loop" is an interesting assumption that I'm not convinced aligns with the reality of the technology. To what extent has speech recognition been improved by being able to feed it through a constantly-updated set of open-loop ML infrastructure?
- TeMPOraL 9y agoProbably a lot; open-ended voice recognition with no prior training is hard (though I'm not convinced it can't be made to work off-line now that the models are there). Still, a lot of devices don't need open-ended voice recognition (structured grammars greatly simplify the problem), and if you allow for users having to pre-train their devices for few minutes, off-line processing becomes easier. My impression is that the main driver behind cloud-first voice processing is business, not technology.