DigitalPhonetics/IMS-Toucan
Controllable and fast Text-to-Speech for over 7000 languages!
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 756 days ago, with 7 contributors on GitHub.
Gained 91% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides a fast, controllable text-to-speech synthesis toolkit supporting over 7000 languages using deep learning and PyTorch.
- Enables massively multilingual TTS with precise control over prosody and speaker embeddings, requiring minimal compute resources.
- Use for developing multilingual voice assistants that require natural speech synthesis in diverse languages.
- Use for academic research on low-resource and zero-shot multispeaker TTS with articulatory and prosody cloning features.
- Use for creating accessible reading tools that convert text to speech with customizable pitch, duration, and energy parameters.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
- No commits in the last six months (last push Jan 2026).
General guidance from repository metadata, not legal advice. How we score
From the README
IMS Toucan is a toolkit for training, using, and teaching state-of-the-art Text-to-Speech Synthesis, developed at the Institute for Natural Language Processing (IMS), University of Stuttgart, Germany, official home of the massively multilingual ToucanTTS system. Our system is fast, controllable, and doesn't require a ton of compute.
If you find this repo useful, consider giving it a star. ⭐ Large numbers make me happy, and they are very motivating. If you want to motivate me even more, you can even consider sponsoring this toolkit. We only use GitHub Sponsors for this, there are scammers on other platforms that pretend to be the creator. Don't let them fool you. The code and the models are absolutely free, and thanks to the generous support of Hugging Face🤗, we even have an instance of the model running on GPU free for anyone to use.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
319+3
Open issues
4+1
Compared with peers in Deep Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| onnx/onnx | 21.6K | — | 63 | 31 days ago |
| mlc-ai/web-llm | 19.3K | — | 59 | 16 days ago |
| lukas-blecher/LaTeX-OCR | 16.6K | — | 18 | — |
| milesial/Pytorch-UNet | 11.7K | — | 18 | — |
| SharpAI/DeepCamera | 3.1K | — | 31 | 227 days ago |
| DigitalPhonetics/IMS-Toucan | 2.2K | — | 9 | 756 days ago |
| Category median | 16.6K | — | 31 | — |
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