dataset_info:
features:
- name: input_ids
sequence: int32
- name: labels
sequence: int64
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 46637477
num_examples: 12451
download_size: 16402695
dataset_size: 46637477
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc0-1.0 language: - de task_categories: - text-to-speech tags: - text-to-speech - tts - german - voice - orpheus-tts - thorsten-voice
Thorsten-Voice TV-24kHz-Neutral-tokenised
Overview
This dataset is a tokenised German text-to-speech dataset created for training and fine-tuning the Orpheus TTS model family.
It is based on approximately 12,000 speech recordings from the original Thorsten-Voice Dataset (2022.10) and has been resampled to 24 kHz and tokenised using Orpheus TTS preprocessing.
This dataset is intended for:
- Training and fine-tuning Orpheus-based German TTS models
- Research on neural speech synthesis
- Open, unrestricted TTS experimentation
Dataset Origin
- Original dataset: Thorsten-Voice Dataset 2022.10
- DOI: https://doi.org/10.5281/zenodo.7265581
- Language: German (de)
- Speaker: Thorsten (single speaker)
All audio originates from the original Thorsten-Voice corpus and was reprocessed for compatibility with Orpheus TTS.
Processing Details
- Audio resampled to 24,000 Hz
- Loudness normalized to -24dB
- Tokenised using the Orpheus TTS tokenizer jupyter notebook (huggingface dataset package < 4)
- Stored as a tokenised dataset ready for training
The tokenisation reflects the Orpheus TTS codebase as of December 2025. Jupyter notebook used to tokenize is attached to this dataset (see files). Thanks to OrpheusTTS for providing.
License
This dataset is released under the Creative Commons Zero (CC0 1.0) license.
You are free to use, modify, distribute and build upon this dataset for any purpose, including commercial use, without restriction.
Related Projects
Thorsten-Voice Project:
https://www.Thorsten-Voice.deOrpheus TTS (GitHub):
https://github.com/canopylabs/orpheus-tts
Notes
This dataset is part of the ongoing Thorsten-Voice ecosystem and is provided to support open, reproducible speech synthesis research.