FastSpeech 2
by Microsoft Research / community
Non-autoregressive TTS reference implementation — fast and parallelizable.
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TL;DR
Best for embedded TTS where inference latency matters more than absolute quality. Pricing: free (MIT).
Category
Open source
License
MIT
Stars
★ 2.2k
Last push
2023-10-27
Pricing
free (MIT)
Platforms
Linux
What it is
FastSpeech 2 from Microsoft Research is a non-autoregressive TTS architecture that dramatically reduced inference latency vs. Tacotron-style models. Still widely cited; ming024's MIT-licensed PyTorch port is the canonical implementation for self-hosters. Consent posture: synthetic-only architecture.
Best for: Embedded TTS where inference latency matters more than absolute quality.
Watch out for: Older architecture (2021) — VITS and XTTS now beat it on naturalness.
Watch out for: Older architecture (2021) — VITS and XTTS now beat it on naturalness.
Install / use
git clone https://github.com/ming024/FastSpeech2Features
| Speaker diarization | No |
| Word-level timestamps | No |
| Streaming / real-time | No |
| Languages supported | 1 |
| HIPAA eligible | No |
Links
FastSpeech 2 vs Whipscribe
| Feature | FastSpeech 2 | 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 |
Alternatives to FastSpeech 2
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