From 0a749d0d1e9c4c6746f9a5dc69ad6d2e9b152ada Mon Sep 17 00:00:00 2001 From: c0ffeeca7 <38767475+c0ffeeca7@users.noreply.github.com> Date: Tue, 10 Oct 2023 23:23:34 +0200 Subject: [PATCH] Apply suggestions from code review Co-authored-by: Michael Hansen --- source/voice_control/create_wake_word.markdown | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/source/voice_control/create_wake_word.markdown b/source/voice_control/create_wake_word.markdown index 8fe9ed35b8c..ad1e03157df 100644 --- a/source/voice_control/create_wake_word.markdown +++ b/source/voice_control/create_wake_word.markdown @@ -2,7 +2,7 @@ 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 fake voices that were 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. 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. 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.