Rime + SignalWire
Blog post from Rime
SignalWire has introduced the Arcana text-to-speech model, enhancing its modern communications platform with natural-sounding voices for voice AI applications. Arcana, which complements the existing Mist v2 model, offers developers the ability to create lifelike interactions using a proprietary dataset of conversational speech. Unique features of Arcana include the ability to generate new voices dynamically and insert paralinguistic expressions such as laughter or sighs into speech. Mist v2 remains the faster option for high-volume applications, while Arcana excels in creative scenarios requiring expressiveness and realism. Both models are accessible through SignalWire’s SignalWire Markup Language (SWML), allowing users to easily switch between models by modifying the rime_model parameter in their scripts. SignalWire provides a step-by-step guide for setting up a voice application, emphasizing the ease of integration and the potential for expanding functionalities using SWML.
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