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v0.7.2

OpenMOSS/MOSS-TTS-Nanov0.7.2May 25, 2026by KoljaB

AI Summary

RealtimeTTS optimizes PocketTTS performance by running synthesis in a worker thread and fixing streaming behavior on Windows/Torch.

Key Highlights

  • Reworked PocketTTS to run synthesis in a persistent worker thread
  • Fixed short-text streaming to decode serially
  • Added streaming controls: `streaming`, `max_tokens`, `frames_after_eos`
  • Added support for custom PocketTTS model configs
  • Added cached voice states support

New Features

  • Persistent worker thread for PocketTTS
  • Custom model config support
  • Cached voice states

Full Release Notes

# RealtimeTTS v0.7.2

### Improvements

* Reworked `PocketTTSEngine` to run synthesis through a persistent worker thread.
* Patched PocketTTS short-text streaming to decode serially, avoiding Windows/Torch CPU memory retention during repeated short generations.
* Added PocketTTS streaming controls: `streaming`, `max_tokens`, and `frames_after_eos`.
* Added support for custom PocketTTS model configs via `model_config`.
* Added support for cached voice states through `PocketTTSVoice(state_path=...)`.
* Added optional voice-state caching through `voice_cache_dir` and `cache_voice_states`.
* Improved PocketTTS audio conversion, queueing, duration tracking, and shutdown cleanup.

### Packaging

* Bumped package version to `0.7.2`.
* Set the PocketTTS dependency to `pocket-tts>=2.1.0`.
* Refreshed explicit dependency versions, including `stream2sentence`, `openai`, `elevenlabs`, `edge-tts`, `requests`, `cartesia`, `camb-sdk`, `omnivoice`, and `typecast-python`.

### Documentation

* Added PocketTTS runtime notes for the persistent worker and serial streaming behavior.
* Cleaned up the README support section.