Improve wake word documentation

Author: Stypox

README.md

@@ -48,7 +48,7 @@ Dicio uses [Vosk](https://github.com/alphacep/vosk-api/) as its speech to text (
 
 ## Wake Word
 
-Dicio uses [Open Wake Word](https://github.com/dscripka/openWakeWord) for wake word support. It comes preinstalled with the _Hey Dicio_ wake word. If you would like to use a different wake word, you can either train your own by following this [Jupiter Notebook](https://github.com/dscripka/openWakeWord/blob/main/notebooks/automatic_model_training.ipynb) with this [configuration](./hey_dicio_training_config.yml), or download a new model (from either [Open Wake Word](https://github.com/dscripka/openWakeWord/releases/) or this [collection](https://github.com/fwartner/home-assistant-wakewords-collection)). Once you have downloaded or trained a new model, head to `Settings > Input and output methods > Import custom wake word` and select the `.tflite` model you downloaded.
+Dicio uses [OpenWakeWord](https://github.com/dscripka/openWakeWord) for wake word support, and by defaults it listens for the _Hey Dicio_ keyword. If you would like to use a different keyword, you can download other `.tflite` models from [Open Wake Word](https://github.com/dscripka/openWakeWord/releases/tag/v0.5.1) or from [this collection](https://github.com/fwartner/home-assistant-wakewords-collection). Then head to `Settings > Input and output methods > Import custom wake word` and select the `.tflite` model you downloaded. Alternatively, you can train a wake word model for a keyword of your choice by following this [Jupiter Notebook](https://github.com/dscripka/openWakeWord/blob/main/notebooks/automatic_model_training.ipynb) with this [configuration](meta/openwakeword_training_config.yml).
 
 ## Contributing