SauerkrautTTS-Preview-0.1 Open-Source German Text-to-Speech Model

Sauerkrauttts Preview 0.1 Q4 K M GGUF

Developed by VAGOsolutions

SauerkrautTTS-Preview-0.1 is a German text-to-speech (TTS) model fine-tuned from a powerful base model, offering four unique German speaker voices.

Speech Synthesis German#German speech synthesis #Multi-speaker support #Professional recording quality

Downloads 300

Release Time : 3/29/2025

Model Overview

This model is crafted through original audio recordings with Rode professional microphones, Mimic Studio tools, and carefully selected synthetic data, capable of generating clear and natural German speech output.

Model Features

Diverse speaker voices

Offers four unique German speaker voices (Lena, Anna, Max, and Tom), created through professional recordings and synthetic data.

High-quality dataset

Combines original recordings with synthetic data to ensure clarity and naturalness of speech output.

Flexible inference settings

Adjust the temperature value to balance output clarity and expressiveness.

Model Capabilities

German text-to-speech

Multi-speaker support

High-quality speech synthesis

Use Cases

Speech synthesis

Voice assistants

Used for speech synthesis in German voice assistants.

Generates clear and natural German speech.

Audiobooks

Used for speech synthesis in German audiobooks.

Provides diverse speaker options.

🚀 SauerkrautTTS-Preview-0.1

SauerkrautTTS-Preview-0.1 is a fine - tuned Text - to - Speech (TTS) model that offers four distinct German - speaking voices, producing clear and natural speech outputs.

🚀 Quick Start

For seamless inference and practical examples, check out our detailed instructions and ready - to - use scripts available on:

Colab Notebook: [Orpheus Colab](https://colab.research.google.com/drive/1KhXT56UePPUHhqitJNUxq63k - pQomz3N?usp=sharing)
GitHub Repository: [Orpheus GitHub](https://github.com/canopyai/Orpheus - TTS)

✨ Features

Multiple Voices: This preview model introduces four distinct German - speaking voices—Lena, Anna, Max, and Tom.
High - Quality Output: The high quality and careful curation of the overall dataset enable the model to produce clear and natural speech outputs, even from this initial release.
Versatile Voice Capabilities: The synthetic audio data enriches the model, resulting in versatile and expressive voice capabilities.

📚 Documentation

Model Details

Base Model: canopylabs/orpheus-3b-0.1-ft
Languages Supported: German
License: CC BY 4.0
Model Version: Preview 0.1 (initial release)

Speaker Data Breakdown

Speaker	Original Data (Hours)	Synthetic Data (Hours)	Total (Hours)
Tom	1h	3.8h	4.8h
Anna	3h	1.25h	4.25h
Max	-	4.78h	4.78h
Lena	-	4.87h	4.87h

Example Output and Comparison

Future Plans

This model represents our first exploratory step into advanced German - language TTS. Expect significant improvements in upcoming versions, including:

Enhanced voice clarity
Expanded speaker diversity
Greater stability across temperature ranges

💻 Usage Examples

Basic Usage

To achieve optimal results, we recommend using a lower temperature for clear and stable outputs. Higher temperatures will enhance dynamism and expressiveness but might introduce instability.

temperature = 0.5  # Adjust lower for clearer output, higher for creativity

📄 License

SauerkrautTTS - Preview - 0.1 is openly available under the [CC BY - NC 4.0 License](https://creativecommons.org/licenses/by - nc/4.0/), encouraging reuse, remixing, and improvements by the community.

🔗 Acknowledgments

We thank Unsloth for their invaluable training script, which we utilized in a lightly modified form for training this model.

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