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herimor / voxtream

VoXtream is a Full-Stream Zero-shot TTS model with Extremely Low Latency and Speaking rate Control

Why this job: says: tts; topics: text-to-speech, tts, voice-cloning, speech-synthesis

What it does

  • Dynamic speed control. Duration distribution guidance allows for fine-grained speaking rate control, which can be adjusted as the model generates speech.
  • Hybrid depth transformer head. 32 Mimi codebooks are generated in 4 steps (3 AR and a single Mixture of Gaussians step), combining high speech quality and low generation complexity.
  • Streaming performance. Works 10x times faster than real-time and achieves 30 ms first packet latency in a full-stream on RTX3090 GPU. Real-time streaming support on a single CPU core via GGUF (int8) and llama.cpp.
  • Long-form generation. Generation runs for up to 5 minutes with a WER below 2% measured on the LibriSpeech-long benchmark.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 25 days ago
Stars
259
+2 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest tag
voxtream2
Released today
Built with
Python
100% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
72% closed
5 still open
Pull requests
5 merged
0 waiting
Releases
2
1 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 100%
  • Dockerfile <1%

Topics

  • speech-synthesis
  • streaming
  • text-to-speech
  • tts
  • voice-cloning

Project record

  • JobSpeech and audio
  • StatusListed
  • Commits45
  • Forks37
  • Watching9
  • Stars in 28 days+4
  • CreatedSep 18, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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