28 Aug '16, 2am

mtdew_

btreichel wrote: Interesting! Any idea if it will need to be trained for each machine that its on. I'm asking because i'm presuming that its learning and suppressing the background noise from the target. I would presume, that if the algorithm is robust enough the answer would be no. I suspect that it might in fact need to be trained per machine, although I also think there may be a way to make that process a little less painful. What I have in mind is to start/stop the recording w/ Artisan (already done), then parse through the Artisan .alog file and use the FCs/FCe/SCs/SCe events to automatically segment and classify the matching recording. That way a user could use Artisan to manually flag events the way you always have, and use that to train the model against your machine in your environment. This is going to take some work and I've got some fairly serious hurdles to de...

Full article: http://www.home-barista.com/home-roasting/acoustics-of-co...

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