VITS
by jaywalnut310 (research)
End-to-end TTS with adversarial training — the open-source workhorse.
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TL;DR
Best for engineers building custom TTS on a specific dataset where they control the training corpus. Pricing: free (MIT).
Category
Open source
License
MIT
Stars
★ 7.9k
Last push
2023-12-06
Pricing
free (MIT)
Platforms
Linux
What it is
VITS (Variational Inference with adversarial learning for end-to-end TTS) is the 2021 architecture that underpins large chunks of subsequent TTS research, including Coqui's models. MIT-licensed reference implementation. Consent posture: training-time choice is operator's.
Best for: Engineers building custom TTS on a specific dataset where they control the training corpus.
Watch out for: Reference implementation — needs training from scratch on your own data for production use.
Watch out for: Reference implementation — needs training from scratch on your own data for production use.
Install / use
git clone https://github.com/jaywalnut310/vitsFeatures
| Speaker diarization | No |
| Word-level timestamps | No |
| Streaming / real-time | No |
| Languages supported | 1 |
| HIPAA eligible | No |
Links
VITS vs Whipscribe
| Feature | VITS | Whipscribe |
|---|---|---|
| Category | Open source | Transcription APIs |
| Pricing | free (MIT) | $4–$24 one-time packs (credits never expire) · $2 single unlock · 60 min free on signup |
| Speaker diarization | — | Yes |
| Word timestamps | — | Yes |
| Streaming | — | No |
| Languages | 1 | 99 |
| Platforms | Linux | Web, API, MCP |
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