Detailed Introduction
MeloTTS is an open-source, high-quality multilingual text-to-speech (TTS) library released by MyShell. It targets developers and researchers who need natural and clear speech synthesis across multiple languages, including Mandarin Chinese, English, Spanish, French, Japanese, and Korean. MeloTTS provides pre-trained models, training configurations, and inference code that make it straightforward to deploy locally or in server environments and integrate into a wide range of applications.
Main Features
- Multilingual support: natural-sounding synthesis for major languages listed above.
- Open-source MIT license: suitable for research and commercial use.
- High audio quality: optimized acoustic models and neural vocoders for fluent speech.
- Extensible: training and fine-tuning scripts enable custom voices and speaker cloning.
Use Cases
- Speech output for voice assistants and AI agents.
- Audiobook and content narration services to improve accessibility.
- Multilingual customer service bots and interactive voice applications.
- Offline synthesis on embedded or edge devices.
Technical Features
- Modern deep-learning acoustic models paired with neural vocoders balancing quality and latency.
- Complete training pipeline and data preprocessing examples for reproducible research.
- Support for model compression and quantization to fit diverse inference targets.
- Active open-source community and maintained repository with issues and contribution guidelines.