From 716cfe2667d2533cdfb611c044fd44fe62b333c3 Mon Sep 17 00:00:00 2001 From: dscripka Date: Sun, 14 Jan 2024 14:00:07 -0500 Subject: [PATCH] Update README.md with link to models from HA community [skip ci] --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 97784f8..c1b2bba 100644 --- a/README.md +++ b/README.md @@ -222,6 +222,8 @@ openWakeWord includes an automated utility that greatly simplifies the process o 2) A more detailed [notebook](notebooks/automatic_model_training.ipynb) (also on [Google Colab](https://colab.research.google.com/drive/1yyFH-fpguX2BTAW8wSQxTrJnJTM-0QAd?usp=sharing)) that describes the training process in more details, and enables more customization. This can produce high quality models, but requires more development experience. +For a collection of models trained using the notebooks above by the Home Assistant Community (and with much gratitude to @fwartner), see the excellent repository [here](https://github.com/fwartner/home-assistant-wakewords-collection). + For users interested in understanding the fundamental concepts behind model training there is a more detailed, educational [tutorial notebook](notebooks/training_models.ipynb) also available. However, this specific notebook is not intended for training production models, and the automated process above is recommended for that purpose. Fundamentally, a new model requires two data generation and collection steps: