If you have trouble setting up speech recognition try heading over to the troubleshooting section. If that doesn't work drop into the discord chat.
The smart mirror uses [Sonus](https://github.com/evancohen/sonus) for speech recognition. The following steps will get you everything you need to make this work:
Setting up Speech Recognition
The smart mirror uses Sonus with Google Cloud Speech for keyword spotting and recognition. To set that up, you'll need to create a new project in the Cloud Platform Console:
1.
In the Cloud Platform Console, go to the Projects page and select or create a new project.
GO TO THE PROJECTS PAGE​
After setting up your project you will also need an API key for
geolocation
geocoding
Javascript Static Map
youtube (if you intend to use this function on your mirror)
google apis.
from the 3 bar menu on the left, select APIs and Services, then Library
enter part of the name of each api in turn, and select it, and click enable repeat for the other apis listed after completing the enabling for all the listed apis
from the 3 bar menu on the left, select APIs and Services, then Credentials
in the Create credentials dropdown, select "API key",
save the value that is shown on the message window that pops up
The API key should be a long string, something like this 'AIzaSyBGWRB2oC1P_xYteMMsdTRV3Kv3aEBPQg'
[Optional] Train your own Keyword
Note: This is no longer required, the mirror comes with a pre-trained universal model! If you're having trouble with the universal model you can follow these steps
Training your own keyword will drastically increase the accuracy of keyword detection. This will be most accurate if you do this on your Pi using the microphone that you'll be using to trigger the mirror.
From the smart mirror directory run:
as of Mid 2019 local model training no longer works see
you can train your model here: [https://github.com/seasalt-ai/snowboy]https://github.com/seasalt-ai/snowboy)
Once trained, download the model and save it to the root of the smart-mirror directory.