MeloTTS is a high-quality, multi-lingual text-to-speech library designed for researchers and developers. It offers advanced TTS capabilities across multiple languages and accents, enabling the creation of natural-sounding speech for various applications.

How It Works

MeloTTS leverages a VITS-based architecture, building upon VITS, VITS2, and Bert-VITS2. This approach allows for high-quality speech synthesis with efficient inference, even supporting real-time CPU usage. A key feature is its multi-lingual support, including various English accents and mixed-language capabilities for Chinese.

Quick Start & Requirements

• Install: pip install melo-tts
• Prerequisites: Python. Models are available on HuggingFace.
• Resources: Fast enough for CPU real-time inference.
• Docs: https://github.com/myshell-ai/MeloTTS

Highlighted Details

• Supports 10 languages and multiple English accents (American, British, Indian, Australian).
• Chinese speaker supports mixed English and Chinese input.
• Optimized for fast CPU real-time inference.
• Based on VITS, VITS2, and Bert-VITS2 architectures.

Maintenance & Community

The project is led by MyShell.ai and includes contributors from Tsinghua University and MIT. Further contributions are welcomed.

Licensing & Compatibility

Released under the MIT License, permitting free commercial and non-commercial use.

Limitations & Caveats

The README does not detail specific hardware requirements beyond CPU inference speed, nor does it mention potential limitations regarding specific language nuances or model sizes.