Provider: ByteDance
License: Apache 2.0 (fully open and commercially usable)
Access: Open weights on Hugging Face and GitHub
Architecture: Multi-stage TTS pipeline (text → phoneme → acoustic → waveform)
🔍 Overview
MegaTTS 3 is the third generation of ByteDance’s open-source multilingual text-to-speech (TTS) model. It significantly improves over its predecessors in terms of naturalness, cross-lingual fidelity, and emotion-aware voice synthesis.
Key highlights:
- 🌐 Multilingual Support: Handles speech generation across multiple languages, including code-switching
- 😃 Emotion and Style Control: Captures prosody, speaker traits, and emotional tone from reference audio or prompts
- 🗣️ Cross-lingual Voice Cloning: Maintains speaker identity even when switching languages
⚙️ Technical Specs
- Architecture: Modular TTS pipeline (MegaTTS encoder + FastSpeech2 + HiFi-GAN)
- Input: Text or phonemes with optional prosody references
- Output: 24kHz waveform audio
- Training Data: Mixture of multilingual and expressive speech corpora
- Customization: Speaker embedding, prosody token, multilingual code-switching interface
🚀 Deployment
- Model Card: ByteDance/MegaTTS3 on Hugging Face
- Codebase: GitHub Repo – MegaTTS
- Inference: Compatible with Python API, inference scripts, and web demos
- Use Cases: Voice assistants, dubbing, audio storytelling, language learning