#105 · Primary category: Speech & Audio
IMS-Toucan
Controllable and fast Text-to-Speech for over 7000 languages!
Project last updated:01/25/26
GitHub Stars
2.2K
Forks
316
Contributors
12
License
Apache-2.0
Why we included this project
IMS Toucan comes from the University of Stuttgart's Institute for Natural Language Processing and is the home of ToucanTTS, a text-to-speech system that covers more than seven thousand languages. It is fast and controllable, and inference does not need a GPU, so it works well for teams that want multilingual speech synthesis on modest hardware. The repository also doubles as a teaching resource, with code and recipes for training, fine-tuning, and understanding modern speech synthesis. A free GPU-backed demo on Hugging Face lets you hear the output before you commit, and the team published a companion multilingual dataset for anyone who wants to train their own models. The language coverage, the low compute needs, and the tutorial material together make it a strong pick for shipping a multilingual voice product or for studying how these systems work.
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