bytedance/MegaTTS3
None observed · 2026-08-28
Health v2 · maintenance only
59/100
- Activity 87
- Release rhythm 35
- Longevity 37
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 531
- days_rel: n/a
- days_push: 79
- n_releases_24m: 0
Adoption not part of the score
6091 stars · 475 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
MegaTTS 3 is ByteDance's open-source PyTorch text-to-speech model with a lightweight 0.45B-parameter Diffusion Transformer backbone. It provides high-quality zero-shot voice cloning with bilingual Chinese/English support and code-switching.
Use cases
- clone a voice from a short audio sample
- generate speech from text in Chinese and English
- build a TTS pipeline with a lightweight model
- control accent intensity in synthesized speech
- synthesize code-switched Chinese-English speech
When to choose
- you need high-quality zero-shot voice cloning
- you need bilingual Chinese/English TTS with code-switching
- you want a research-grade TTS model under an Apache-2.0 license
When to avoid
- you need production TTS on Windows or macOS without extra setup
- you need many languages beyond Chinese and English
- you need fine-grained pronunciation/duration control, which is not yet implemented
Facets
library · maturity active
tts speech-recognition machine-learning deep-learning speech-processing artificial-intelligence deep-learning python voice-cloning text-to-speech diffusion-transformer bilingual pytorch zero-shot-tts linux gpu
1 source
- readme: https://github.com/bytedance/MegaTTS3 · fetched 2026-08-28 · b868760ea6bc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| bytedance/MegaTTS3 | main | 59 |
For agents
markdown · JSON · MCP: product_card(name="bytedance/MegaTTS3")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem