piper voices

Introduction

Piper Voices is a component of the Rhasspy project, designed to provide multilingual text-to-speech capabilities. It supports 35 languages and is built to work with the Piper text-to-speech system.

Architecture

Piper Voices leverages ONNX for model deployment, enabling optimized performance across various platforms. The system supports a wide range of languages, making it versatile for global applications.

Training

The project provides checkpoints that can be used to train custom voices. Detailed instructions for training are available in the Piper training documentation. Users can utilize the provided datasets and models to develop and fine-tune voices suited to their specific needs.

Guide: Running Locally

1. Clone the Repository: Clone the Piper Voices repository from GitHub to your local machine.
2. Install Dependencies: Ensure that all necessary dependencies are installed, including Python and ONNX runtime.
3. Run the Model: Use the provided scripts or integrate with the Piper system to run the model and generate speech from text inputs.

For enhanced performance, consider using cloud GPUs from platforms like AWS, Google Cloud, or Azure, which can handle intensive processing tasks more efficiently.

License

Piper Voices is released under the MIT License, allowing for free use, modification, and distribution, provided the license terms are met.