rendchevi / nix-tts
🐤 Nix-TTS: Lightweight and End-to-end Text-to-Speech via Module-wise Distillation
Why this job: says: text to speech, tts; topics: text-to-speech, tts, speech-synthesis
What it does
This is a repository for our paper, 🐤 Nix-TTS (Accepted to IEEE SLT 2022). We released the pretrained models, an interactive demo, and audio samples below.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 12 months ago
- Stars
- 262
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 33% closed
- 14 still open
- Pull requests
- 0 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- speech-synthesis
- text-to-speech
- tts
- pytorch
- onnx
Project record
- JobSpeech and audio
- StatusListed
- Commits11
- Forks35
- Watching8
- Stars in 28 days0
- CreatedMar 20, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026