This is an automated archive made by the Lemmit Bot.
The original was posted on /r/homeassistant by /u/Exciting_Turn_9559 on 2025-02-18 20:51:03+00:00.
Original Title: TextyMcSpeechy: Make any voice into a Piper text-to-speech model. 100% free, 100% offline. Now Dockerized for much easier installation, with tutorials for installing and using custom voices with Home Assistant.
A major revision to this project has just landed at .
The main branch now uses a prebuilt docker container to train Piper TTS voices, which makes installation *far* easier than it was previously.
Key features of this project include:
- Guides that describe several different ways of creating custom voice datasets, including using RVC models to batch convert datasets from one voice to another.
- A script that lets you record a dataset that can be used to turn your own voice into a text-to-speech model quickly and easily
- The TTS Dojo: a convenient training environment that organizes your datasets and checkpoint files, lets you listen to the way your voice model sounds as it is training, and generates Piper TTS voices which you can use directly in Home Assistant.
There are also a growing number of very useful (and frankly, hard to find) guides related to using custom Piper voices in Home Assistant, including:
- How to install custom voices and use them in your own Home Assistant scripts
- How to render custom voices for Home Assistant on a networked device with a GPU in order to greatly speed up response times for conversational AI.
- How to create this lovelace UI for testing custom voices.
I've used it to make TTS models of all my family members' voices. I love it so much. Check it out.