From df9a022547fdf65c6acb07ddb45189fca96140a2 Mon Sep 17 00:00:00 2001 From: c0ffeeca7 <38767475+c0ffeeca7@users.noreply.github.com> Date: Wed, 11 Oct 2023 17:35:41 +0200 Subject: [PATCH] Update source/voice_control/create_wake_word.markdown Co-authored-by: Paulus Schoutsen --- source/voice_control/create_wake_word.markdown | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/source/voice_control/create_wake_word.markdown b/source/voice_control/create_wake_word.markdown index 28d7c03cd5e..0d57da928fe 100644 --- a/source/voice_control/create_wake_word.markdown +++ b/source/voice_control/create_wake_word.markdown @@ -2,7 +2,9 @@ title: "Create your own wake word" --- -You can now create your own wake word. The procedure below will take you into a Python environment to train a model. The model is trained on synthetic voice clips that are generated by the local neural text-to-speech system [Piper](https://github.com/rhasspy/piper). Want to now more about how this all works? Check out the [openWakeWord](https://github.com/dscripka/openWakeWord) project by David Scripka. +You can now create your own wake word to use with Home Assistant. The procedure below will guide you to train a model. The model is trained using voice clips generated by our local neural text-to-speech system [Piper](https://github.com/rhasspy/piper). + +_Want to now more about how this all works? Check out the [openWakeWord](https://github.com/dscripka/openWakeWord) project by David Scripka.)_ Depending on the word, training a model on your own wake word may take a few iterations and a bit of tweaking. This guide will take you through the process step by step.