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Version: 1.0.0-beta.7+dev

Offline

In this section, you will see how to setup the Leon's offline nodes.

With these STT/TTS providers and this hotword node, everything is running on your machine, nothing get out to request a third-party. To setup them all at the same time, simply run the following command:

npm run setup:offline
Warning
  • The offline STT and offline TTS only work for the en-US language. More languages will come later.

Coqui (STT)#

For the offline STT, Leon uses Coqui STT which is a TensorFlow implementation of Baidu's DeepSpeech architecture.

Everything is already ready, you just need to run a command to download and setup the pre-trained model (~ 1 GB). If you wish to only install the offline STT, run the following command:

npm run setup:offline-stt

Then in your .env file, set LEON_STT=true and LEON_STT_PROVIDER=coqui-stt.

Flite (TTS)#

For the offline TTS, Leon uses CMU Flite which is a small, fast runtime open-source text-to-speech synthesis engine developed at CMU (Carnegie Mellon University).

Here also, everything is ready, you just need to run a command to download the binary and configure. If you wish to only install the offline TTS, run the following command:

npm run setup:offline-tts

Then in your .env file, set LEON_TTS=true and LEON_TTS_PROVIDER=flite.

Tip

This voice is... Quite funny :)

Hotword#

The hotword node is an independent Node.js process which allows you to listen for the Leon hotword. Once Leon hears his name, he listens for your request.

Setup#

Tip

Use nvm to easily switch between your Node.js versions.

If you wish to only install the offline hotword, then run the following command:

npm run setup:offline-hotword

Usage#

Ensure the Leon's server is running, then from the project root, execute the following command:

npm run wake
# Now say "Leon"

Languages#

The hotword node supports the following languages:

  • en-US
  • fr-FR

To change the language, simply switch the project language via the LEON_LANG variable environment and re-run the main server and the hotword process.