Cloud Speech Recognition
Last updated
Was this helpful?
Last updated
Was this helpful?
If you have trouble setting up speech recognition try heading over to the . If that doesn't work drop into the .
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:
The smart mirror uses 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:
In the Cloud Platform Console, go to the Projects page and select or create a new project.
Enable billing for your project.
Enable the Cloud Speech API. - For more info see (for normal smart mirror usage it will be free)
Create a new JSON service account key and download it to the smart-mirror
folder...
.
When prompted to create a new service account select "Project Owner"
Keep this information for later. You'll need your projectID and keyfile to .
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.
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'
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:
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.
Next Step: