Cartesia uses state space models for sub-100ms voice AI on AWS
Overview
Cartesia, an AWS Partner, uses State Space Models for its voice products, according to an AWS Machine Learning Blog post.
The post says Cartesia's Sonic text-to-speech model produces first audio in about 90ms across more than 44 languages. Its Ink speech-to-text model handles native turn detection. The post says Cartesia can be deployed on AWS for data sovereignty, latency control, or compliance needs. The figures are the company's and AWS's own claims, and the source does not report independent measurements.
Written by AI from the articles below · updated Nov 3, 12:24 PM ET
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- AWS Machine Learning BlogOfficialCartesia uses state space models for sub-100ms voice AI on AWS
AICartesia, an AWS Partner, uses State Space Models to deliver text-to-speech and speech-to-text with sub-100ms first-byte latency. Its Sonic text-to-speech model produces first audio in about 90ms across more than 44 languages, while its Ink speech-to-text model handles native turn detection. The post says Cartesia can be deployed on AWS for data sovereignty, latency control, or compliance needs.
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