Question 1

How do I set up Rhasspy with Home Assistant?

Accepted Answer

Rhasspy transcribes voice commands into JSON events that trigger Home Assistant automations. You need to deploy it via Docker, configure the web interface, and set up intent handling in Home Assistant using the event triggers documented on the Rhasspy site.

Question 2

What's the difference between Rhasspy and Mycroft?

Accepted Answer

Rhasspy is fully offline and open-source, prioritizing privacy, while Mycroft may use cloud components for better accuracy. Rhasspy integrates natively with Home Assistant, but Mycroft offers a more polished out-of-the-box experience for general voice assistant tasks.

Question 3

How to add custom wake words in Rhasspy?

Accepted Answer

You can use technologies like Precise or Porcupine to train custom wake words. This involves recording audio samples and configuring the wake word component in your Rhasspy profile, as detailed in the documentation for each supported engine.

Question 4

Is Rhasspy good for non-English languages like Spanish or German?

Accepted Answer

Yes, Rhasspy supports multiple languages, but accuracy varies. The README table shows that languages like Spanish and German have good coverage across components, though some speech engines may require additional training for optimal performance.

Question 5

Can I run Rhasspy without Docker?

Accepted Answer

Docker is the recommended method for ease of deployment. Running it natively is possible but complex, requiring manual installation of dependencies and components, which is less documented and more error-prone.

Question 6

How does Rhasspy handle speech recognition offline?

Accepted Answer

It uses offline engines like pocketsphinx and Kaldi for speech-to-text, which process audio locally without internet. However, these may have lower accuracy compared to cloud-based alternatives and need proper microphone setup and profile tuning.

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