Thorsten-Voice – Orpheus TTS v1 (German)
Overview
Thorsten-Voice/tv-orpheus-v1 is a German text-to-speech (TTS) model trained with Orpheus TTS.
It is based on the German Orpheus research checkpoint
canopylabs/3b-de-ft-research_release and fine-tuned with approximately 12,000 recordings from the Thorsten-Voice Dataset 2022.10.
The goal of this model is to provide a natural, calm, and intelligible German male voice that is freely usable for research, education, and creative projects.
Training date / codebase reference: December 2025
Training Data
- Dataset: Thorsten-Voice Dataset 2022.10
- Number of recordings: ~12,000
- Sample rate: 24 kHz
- Speaker: Thorsten (single speaker)
- License of recordings: CC0 (Public Domain)
- DOI: https://doi.org/10.5281/zenodo.7265581
The speaker explicitly releases the voice recordings and the underlying voice under CC0.
Model Lineage
- Base model:
canopylabs/3b-de-ft-research_release
- TTS framework: Orpheus TTS
- Fine-tuning: Thorsten-Voice (Germany)
- Architecture: Orpheus-style LLM + SNAC codec
This model is a derivative work of the Orpheus base model.
License Clarification
-
Model weights:
Licensed under Apache-2.0, inherited from the Orpheus base model.
-
Training data & voice:
Released under CC0 (Public Domain) by the speaker.
No additional usage restrictions are imposed by the author.
Usage Example
1python inference_hf.py \
2 --model_path Thorsten-Voice/tv-orpheus-v1 \
3 --text "Guten Morgen. Ich hoffe, es geht Ihnen gut." \
4 --outfile output.wav
The inference script (inference_hf.py) is included in this repository (see files).
Acknowledgements
This model would not exist without the excellent work on Orpheus TTS.
- Orpheus TTS GitHub: https://github.com/canopylabs/orpheus-tts
- Base model by: Canopy Labs
Thorsten-Voice Project
- Thorsten-Voice is an open voice project providing high-quality German speech data and models under open licenses.
- Project page: https://www.Thorsten-Voice.de
