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Cartesia's Sonic-3.6 represents a significant architectural shift in text-to-speech by utilizing state space models to achieve sub-90ms latency while outperforming transformer-based competitors on independent synthesis leaderboards. This advancement demonstrates that the traditional trade-off between speed and naturalness can be resolved through novel model design rather than incremental tuning, setting a new benchmark for real-time voice applications.

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Cartesia Ships Sonic-3.6: A Streaming TTS Model That Now Leads Both Artificial Analysis Speech Arenas

MarkTechPostAugust 18, 20263 min read

Cartesia has released Sonic-3.6, a streaming text-to-speech model built on state space models rather than transformers. It now ranks #1 on both Artificial Analysis speech leaderboards — 1,283 Elo on Provider Voice and 1,123 on Controlled Voice, the board that clones every model onto the same eight reference voices to isolate the synthesis engine. Cartesia states sub-90ms time-to-first-audio. The model is available in beta on Cartesia's own API The post Cartesia Ships Sonic-3.6: A Streaming TTS Model That Now Leads Both Artificial Analysis Speech Arenas appeared first on MarkTechPost.

Cartesia has released Sonic-3.6, the newest version of its real-time text-to-speech model. It arrives roughly three months after Sonic-3.5. The new change is naturalness, and this one is independently checkable. Sonic 3.6 now holds #1 on both Artificial Analysis speech leaderboards — 1,283 Elo on the Provider Voice board and 1,123 on the Controlled Voice…

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