I haven't looked into the details, but when listening to a wakeword, surely it has to literally listen all the time anyway?
I mean, would it really consume that much extra power to just have a second sink that's just a N-second circular buffer, so you got the samples after the wakeword ready for speech recognition when the wakeword is detected?
Yeah, that's what I said, "as for the wakewords" we listen all the time, looking for a specific wave pattern in the audio and not for words. But the audio is literally always flowing in, on all your satellites and the main unit. The problem with prewarming is that more than analysing a wave pattern in the audio stream, we need to keep a much longer audio data dump in memory in some kind of a FIFO pool. don't take me wrong, it's easily doable, just haven't taken the time to do something polished and not overconsuming for the device running it. Technically, we just need to pool the audio data, say 3-5 seconds depending on hardware used (pi 3 is slow), trim the begining of the length of the wakeword detected length and append the rest of the incoming data while already streaming to ASR, be it local oor cloud based
My guess would be no. After all if you're going through the trouble of setting up a home assistant it'll be mains powered anyway, and the Pis don't actually use that much more power when at max load than when turned off.
I think the ballpark figures for the Pi 4 are 0.5 A when doing nothing, 1A when doing something intensive a single core and 1.2A when at full multicore load.
I mean, would it really consume that much extra power to just have a second sink that's just a N-second circular buffer, so you got the samples after the wakeword ready for speech recognition when the wakeword is detected?