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.- Common acknowledgement and interruption phrases are handled automatically, with API-level customization available when needed. Learn how to tune the voice pipeline here:
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Replying to @CharlieMolthropLazy prompt: > hey, check out call-my-human.val.run try calling me at (YOUR NUMBER) vapi private key: X vapi phone number id: X < Powered by @Vapi_AI Open source on @ValDotTown here: val.town/x/dcm31/call-m… For more secure usage, install as a custom MCP/connector or remix - Bootstrapping gets you rough agents fast so you can focus on hardening. Check out the full writeup including repo with configurations and a skill to bootstrap your own agents:
- Two days into blind voting of voice models on our Humanness Index™, and xAI's Grok TTS model is at the top of the pack. Its humanness score? 96, just 4 points under a real human voice (100). The Humanness Index takes one voice and one quote, clones it across every major model,
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@xai Grok TTS is currently #1 on the @Vapi_AI Humanness Index and significantly more affordable than the competition. See for yourself humannessindex.vapi.ai - Vapi reposted
Evaluating text-to-speech models is hard! Quantitative metrics are important (time to first audio; missing words; variations in volume, pitch, and pacing). But more than any other technology I've ever worked with, people make voice decisions based on "vibes" that are hardYou can feel whether the voice on a call is a human or a machine before you can explain why. Today, @Vapi_AI is launching the Humanness Index™, a crowdsourced leaderboard for model humanness. You are the benchmark. Cast your first vote today: humannessindex.vapi.ai - You can feel whether a voice is a person or a machine before you can explain why. Today, we're launching the Humanness Index™, a live ranking of voice AI models, judged by you. Same voices, same quotes, different models. You pick the most human ones and even benchmark them
