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March 14, 2025

Voxta 141 Update: Faster STT & TTS + More!

Hey everyone!

We’re back with an experimental build that brings some major speed improvements by introducing out-of-process Python modules! If you’re self-hosting speech-to-text (STT) and text-to-speech (TTS), expect more parallelism and faster performance!

🔹 Faster & Smarter Speech Processing

  • WhisperLive, Coqui XTTS, F5-TTS, and Kokoro now run out-of-process, reducing bottlenecks and boosting speed.

  • WhisperLive can now run on a remote server, giving you more flexibility in your setup.

🔹 Action Inference System Upgrades

  • Flattened activated actions – organize actions better and dynamically merge child actions based on conditions.

  • New beforeSelectActionInference event – tweak upcoming action inference in scripts, giving you more control over actions.

🔹 UI & Experience Improvements

  • Pick your audio input/output device directly in the browser.

  • Simplified inspector with collapsible sections for easier navigation.

  • Italicized roleplay text for a cleaner avatar view.

🔹 Stability & Fixes

  • Llama.cpp improvements to prevent decoding errors in web searches.

  • Coqui DeepSpeed disabled by default (waiting for Python 3.12 compatibility).

  • Fixed multiple install issues (LlamaSharp, ffmpeg, and more).

  • NAudio fixes – selected audio devices will now actually be used.

  • Better scenario & character handling to avoid crashes and missing resources.

This build hasn’t been fully tested on Linux yet, so tread carefully! 🛠️

As always, your feedback is invaluable—try it out and let us know what you think!

How to install Voxta server app: https://youtu.be/1I9VkJ8tTlo
How to update Voxta server app: https://youtu.be/5aa7sducwoc

Comments (2)

N
Nick Ferreri · March 15, 2025

When can we get sesame 1b csm integration?

V
Voxta · March 15, 2025

Well, they released it to the public, but it's nowhere near the quality of the demo on their website. People are not happy with the outcome, so we're skipping it for now. Check this out for yourself: https://github.com/SesameAILabs/csm/issues/63