Many of the reliable speech recognition systems today such as Amazon Alexa or Google assistant connect to the internet and remote servers to process the speech data. However, with Voice2JSON, you can have your speech recognition data processed right on your Raspberry Pi This is called edge detection.
Voice2JSON works on top of other existing speech recognition dictionaries. This guide will be using a profile based on PocketSphinx because of its large vocabulary. PocketSphinx is maintained by Carnegie Mellon University.
Voice2JSON is a speech recognition tool for listening to speech and translating that to an intent. This allows your program to easily respond to the intent instead of worrying about the specific syntax of what was spoken. For instance, if somebody says "set light to green" instead of "change light to green" then it will still work.
While Voice2JSON was not designed to be run in Python, this guide does it anyways by launching the executable with subprocess commands and monitoring the JSON output. By leveraging Blinka, the CircuitPython compatibility layer, some powerful things can be done with the Adafruit BrainCraft HAT.
You will need 2 of these speakers:
