jeans/home-assistant.io
jeans/home-assistant.io
1
0
Fork 0
mirror of https://github.com/home-assistant/home-assistant.io.git synced 2025-08-03 22:48:02 +00:00
Code Issues Packages Projects Releases Wiki Activity

Apply suggestions from code review

Browse Source 
Co-authored-by: Michael Hansen <hansen.mike@gmail.com>
This commit is contained in:
c0ffeeca7 2023-10-10 23:24:07 +02:00 committed by GitHub
parent 0a749d0d1e
commit d5ad0b0059
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
source/voice_control/create_wake_word.markdown
View File

@ -15,7 +15,7 @@ Depending on the word, training a model on your own wake word may take a few ite
## To create your own wake word
1. Think of a wake word.
- A word that is not commonly used so that it does not trigger Home Assistant by mistake.
- A word or short phrase (3-4 syllables) that is not commonly used so that it does not trigger Home Assistant by mistake.
- Currently, only wake words in English are supported.
2. Open the [wake word training environment](https://colab.research.google.com/drive/1q1oe2zOyZp7UsB3jJiQ1IFn8z5YfjwEb?usp=sharing#scrollTo=1cbqBebHXjFD).
3. In section 1, enter your wake word in the **target_word** field.
@ -40,7 +40,7 @@ Depending on the word, training a model on your own wake word may take a few ite
- This may take a while.
- There are 3 options to tweak. For the time being, don't change any settings.
- **Result**: Once this process is finished, you should have 2 files in your downloads folder:
- `.tflite` and `.onnx` files
- `.tflite` and `.onnx` files (only `.tflite` is used)
8. Congratulations! You just applied machine learning to create your own wake word model!
- The next step is to add it to Home Assistant.
@ -50,7 +50,7 @@ Depending on the word, training a model on your own wake word may take a few ite
1. Make sure you have the [Samba add-on installed](/common-tasks/os/#configuring-access-to-files).
2. On your computer, access your Home Assistant server via Samba.
- Open the `share` folder and create a new folder `openwakeword` so that you have `/share/openwakeword`.
3. Drop your shiny new wake word model files into that folder.
3. Drop your shiny new wake word model file (`.tflite`) into that folder.
4. Restart Home Assistant.
5. Go to {% my voice_assistants title="**Settings** > **Voice assistants**" %}.
- Either create a new assistant and select **Add assistant**.