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Vapi
@Vapi_AI
Deploy voice agents at scale. 👾-
加入 November 2023
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Congrats to the @cartesia team on Ink-2. Accurate transcription at conversational speed is the foundation on which every voice agent builds, and Ink-2 delivers both. Vapi is built to be modular, so you can run best-in-class models like Ink-2 today as a custom transcriber.
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For voice agents, STT has to nail three things - accuracy, turn detection, and latency. If any one falls short, the experience breaks down: the agent misunderstands, interrupts, or just feels slow. We built Ink-2 to lead on all three. Here’s how it stacks up against other providers: link in comments.
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