Rime
Text-to-speech
Rime offers uniquely realistic voices with a focus on natural expressiveness.
Models
Coda is Rime’s flagship model, pairing a sophisticated LLM backbone with a dedicated speech inference engine for top-rated, ultra-realistic voices.
Mist is Rime’s fastest model, built for high-volume, business-critical applications.
Arcana offers a variety of ultra-realistic voices prioritizing authenticity and character.
Voices
Press play to audition any Rime voice, then copy config to grab the value for SWML or your SDK.
Mist v2 is the default Rime model on the SignalWire platform. To use this model, simply set the voice ID.
To use Coda or Arcana voices, set model to coda or arcana with the
languages
SWML method:
Languages
As of June 18th, 2026, SignalWire supports the following languages with Rime:
Refer to the Rime docs for the most up-to-date reference to supported languages.
Usage
Format: rime.<speaker>:<model>
Examples:
For a full demonstration and sample script, see below.
Preview Rime voices on their dashboard
Refer to the Rime Docs for an up-to-date list of voice IDs.
Build with Rime on SignalWire
Create a Space and add credit
If you don’t have one yet, you’ll need to create a SignalWire Space. Be sure to add some credit to test with.
Add a new Resource
Navigate to the Resources tab in your SignalWire Dashboard and click + Add New to create a new Resource.
Create a SWML Script
From the Resources menu, select SWML Script. Name it something fun and recognizable. Ours is titled Rime Wizard.
Next, paste the following starter script into the text box, and hit Save:
Next steps with SWML
Now you’ve deployed your very first SignalWire voice AI application using Rime voices. Next, dive deeper into SWML to explore its capabilities!
