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Apr 16, 2017 at 18:44 vote accept Nonny Moose
Apr 16, 2017 at 8:51 answer added JRE timeline score: 0
Apr 16, 2017 at 7:34 answer added analogsystemsrf timeline score: 1
Apr 16, 2017 at 7:21 answer added Autistic timeline score: 1
Apr 15, 2017 at 21:04 comment added jonk I think SNR will have a lot to do with what choices you have to make. But I'd start such a project by first considering the idea of buying at least two microphones. Perhaps even four. (I'm thinking here of applying beam-forming or spatial filtering concepts to the processing.) I'm almost certain that you will have to consider including more than one microphone in this situation.
Apr 15, 2017 at 20:43 comment added JRE You don't need a really special microphone. A normal microphone will pick up pretty much everything in a typical room. The problem lies in separating the voice from the other sounds. You can use multiple microphones and some signal processing to pickout the voices, but it won't be trivial.
Apr 15, 2017 at 20:42 comment added Ale..chenski You need to become familiar with main concepts of sound propagation, near field vs. far field, reflections, etc., before embarking on voice recognition from a far distance.
Apr 15, 2017 at 20:37 comment added Ale..chenski Are there any other sound sources in the room?
Apr 15, 2017 at 20:10 comment added user16324 It's got more to do with gain and noise in the microphone amplifier (the bit between mic and R-Pi) than what the mic looks like.
Apr 15, 2017 at 20:02 review First posts
Apr 15, 2017 at 20:43
Apr 15, 2017 at 20:01 history asked Nonny Moose CC BY-SA 3.0