Developer Experience Technical Writer
August Lindgren-Ruby
On Thursday, Rime announced its groundbreaking new Arcana text-to-speech model – and it’s already live on SignalWire. Arcana joins Mist v2, giving developers using SignalWire Voice AI Agents access to some of the most natural-sounding TTS voices available today.
Why are these models such a big deal? Unlike many others in the space, Rime trains its models on a proprietary dataset of entirely everyday, conversational speech, all richly annotated with conversational context. This adds a uniquely naturalistic quality to the Arcana voices, and enables several features not found anywhere else - like <laugh> tags and even dynamically-generated custom voices.
To experience one of Rime’s Mist v2 voices in action, call 320 4MOVIES. Mist is Rime’s fastest model. This movie expert AI agent demonstrates how integrating Rime with SignalWire results in AI voice applications that deliver natural, humanlike interactions with imperceptible latency.
Ready to try out Arcana voices with a SignalWire Voice AI Agent? It’s as simple as this SignalWire Markup Language (SWML) script:
Yes, really - that’s it! Check out our full guide below for a step-by-step walkthrough, from creating an account to dialing your AI application over the PSTN.
Choose a model: Mist vs. Arcana
Wondering whether to start with Mist v2 or Arcana? At the time of publication, Mist v2 is the faster and more customizable model, trusted in production today for high-volume, business-critical applications.
With its authenticity and ability to generate new voices on the fly, Arcana is the better choice for creative applications where expressiveness and realism are top priorities. Arcana’s novel architecture gives it access to far more linguistic and semantic information than conventional models, enabling two new groundbreaking features:
Infinite voices
Arcana can generate new voices on the fly from a short description or fictional name. Imagine an application that generates a new agent personality and corresponding voice based on the conversation history. With Arcana and SWML, that is now possible.
Paralinguistic expressions
Arcana can also insert lifelike paralinguistic nuances (non-word expressive sounds like <laugh> or <sigh>) into speech, just by including a token like <laugh> in the inputted text. Try adding one of them as a filler in your prompt!
The Arcana and Mist v2 models share voice names, so you can upgrade to Arcana at any time by toggling the rime_model param of the SWML AI method.
Build a voice app with Rime on SignalWire
Rime’s Arcana and Mist voices are already live and ready for production use on the SignalWire platform. To see them in action, let’s create a simple SWML script that initiates an AI agent using an Arcana voice.
1. Create an account and add credit
If you don't have one yet, you'll need to create a SignalWire Space.
Be sure to add some funds to test with.
2. Add a new Resource
Find the Resources tab in the main sidebar menu of your Dashboard. From there, add a new Resource, and select SWML Script.
Don’t see the Resources tab? If your SignalWire Space was opened before January 2025, you’re on the legacy UI. Instead, create a SWML Script using the Relay / SWML tab.
3. Create a 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.
This simple YAML file is actually a complete application that SignalWire hosts and deploys the moment you hit save. The hard telecom and LLM integration happen behind the scenes, so all you have to worry about is calling the ai method, giving it a prompt, and assigning a TTS voice. In this case, we’re using Rime’s Maya voice, and specifying the Arcana model.
SWML is compact but mighty. This same SWML script can be expanded to do almost anything - call external APIs, use defined “tools” or functions, retrieve structured information from SignalWire’s Datasphere RAG stack, switch voices and contexts, programmatically modify its own source with the Prompt Object Model, and transfer to other Resources on SignalWire’s Call Fabric platform.
4. Buy and assign a phone number
Navigate to the Phone Numbers section of the Dashboard.
Purchase a phone number and assign it to the desired SWML script.
5. Give it a call!
Call the number you just assigned to chat with your new AI voice application on the phone.
Next steps
Filter and preview voices by tags in the Rime Dashboard
Explore our Full SWML documentation to learn more about what you can build and customize with SignalWire’s Programmable Unified Communications platform
