---
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.de

- **Orpheus 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.