Auralis is a high-speed text-to-speech (TTS) engine designed for practical, real-world applications, including voice cloning. It targets developers and researchers needing to convert large volumes of text to natural-sounding speech efficiently, offering significant speedups over traditional methods.

How It Works

Auralis leverages the XTTSv2 model, optimizing its inference pipeline for speed and low memory footprint. It employs smart batching and concurrency management, allowing it to process multiple requests simultaneously on consumer GPUs. The engine supports streaming for long texts and includes built-in audio enhancement features like noise reduction and volume normalization.

Quick Start & Requirements

• Install via pip: pip install auralis
• Requires Python 3.10+.
• Example usage and CLI server available.
• Official documentation and examples are linked.

Highlighted Details

• Processes a full novel in approximately 10 minutes (RTF ≈ 0.02x).
• Supports voice cloning from short audio samples.
• Offers automatic language detection and audio enhancement.
• Allows fine-tuning with custom XTTSv2 models via a provided conversion script.

Maintenance & Community

• Community contributions are welcomed, with contribution guidelines provided.
• Links to community channels (Discord/Slack) are available.

Licensing & Compatibility

• Codebase is released under Apache 2.0.
• XTTSv2 model components are under the Coqui AI License.

Limitations & Caveats

The XTTSv2 model components are subject to the Coqui AI License, which may have restrictions on commercial use or redistribution. Specific details of this license are not elaborated upon in the README.