AI Briefing#eleven-v4
The latest AI and developer news about #eleven-v4, with the original source and a short summary.
The latest AI and developer news about #eleven-v4, with the original source and a short summary.
The architecture comprises nine layers including ASR, turn-taking, LLM orchestration, and telephony, with Eleven v4 Turbo leading the Artificial Analysis Provider Voice Arena Leaderboard.
The guide details how banks use conversational AI to reduce call volume by 40% and cut per-call costs to 35 cents while maintaining compliance.
This article explains the mechanics of text-to-speech technology, detailing the neural synthesis pipeline and introducing ElevenLabs' new Eleven v4 model.
The guide covers Python and TypeScript setup, model selection for 90+ languages, and troubleshooting for common API errors.
Eleven v4 introduces contextual Audio Tags like [pause] and [long pause] to replace fixed SSML break tags for natural timing.
Eleven v4 supports phoneme rules and inline IPA but does not support SSML phoneme tags.
Audio Tags allow users to direct emotional performance in Eleven v4, which ranks first in the Artificial Analysis Speech Arena with 1319 Elo.
Creator+ subscribers receive 3x credits for Eleven v4 until October 12.
Eleven v4 Turbo achieves a median inference latency of ~100ms, enabling low-latency conversational agents.