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metadata
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

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


Notes

This dataset is part of the ongoing Thorsten-Voice ecosystem and is provided to support open, reproducible speech synthesis research.