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How does this compare to approaches like presented by MSR at NeurIPS this year where also do keyword detection on the Pi Zero or impressively the M4F? https://
by emcq 8y ago
How does this compare to approaches like presented by MSR at NeurIPS this year where also do keyword detection on the Pi Zero or impressively the M4F?
https://dkdennis.xyz/ https://dkdennis.xyz/
- thegabriele 8y agoI don't know regarding your specific case, but one year ago i was able to stitch together CMU Sphinx, Pi Zero, a bluetooth headset and google voice recognition to have a working keyword detection + voice to text system (for italian language).
- kenarsa 8y agoThanks a lot for the link. I'll be sure to take a look into it in more detail. Keyword spotting is one of the modules we run in this demo. That's how we detect "Hey Barista". We also run an engine we can "Speech-to-Intent" that infers user request from follow up command. One thing I wanted to mention is that there are two challenges when running DNNs on embedded platforms (1) limited compute power (CPU) (2) limited memory (RAM). RPi zero is definitely bound by (1) but not (2) as you get 100 MBs of RAM on it.