F5 T T S German

Introduction

F5-TTS-German is a Text-to-Speech (TTS) model designed for the German language. It utilizes the F5-TTS library and is trained on the amphion/Emilia-Dataset. The model aims to generate fluent and faithful speech using flow matching techniques.

Architecture

The model is part of the F5-TTS framework, which focuses on generating high-quality audio from text inputs. The architecture is optimized for German language processing and employs .safetensors for efficient inference.

Training

The model is trained using the amphion/Emilia-Dataset, focusing on producing natural and accurate German speech. For enhanced sound quality, users can adjust the number of nfe steps to 64.

Guide: Running Locally

1. Clone the repository: Access the model's GitHub repository at F5-TTS GitHub and clone it to your local machine.
2. Install dependencies: Ensure that all necessary Python packages and F5-TTS libraries are installed.
3. Download the model: Obtain the model weights, specifically the f5_tts_german_1010000.safetensors file.
4. Run inference: Use the model to convert text inputs into German speech outputs. Adjust nfe steps to 64 for improved quality.
5. Cloud GPUs: For optimal performance and faster processing, consider using cloud GPU services like AWS, Google Cloud, or Azure.

License

The F5-TTS-German model is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (cc-by-nc-4.0). This license allows for use and adaptation for non-commercial purposes, provided appropriate credit is given.