Year
2024
TYPe
FRAMEWORK
Category
VOICE AI
DEV Duration
3 - 4 Weeks
This project began with an investigation into the capabilities of Eleven Labs’ Conversational AI for use in outbound telephony. While Eleven Labs offers exceptional voice realism and dialogue coherence, the challenge was integrating this with Twilio's programmable voice infrastructure to enable real-time, bi-directional media streaming.
Built on a Node.js backend, serving as the bridge between Twilio’s telephony platform and Eleven Labs’ real-time conversational AI. Calls are initiated via a simple RESTful API, and once a connection is established, Twilio’s Media Streams API transmits live audio over a WebSocket to Eleven Labs.
Development focused on enabling real-time, full-duplex audio interaction between a live phone call and the Eleven Labs AI agent. A core challenge was ensuring media packets were properly encoded and transmitted with minimal latency to preserve conversational flow. The system uses Express.js for routing and WebSocket libraries to manage the bidirectional audio stream.
The goal of this project is to demonstrate how AI voice agents can autonomously manage outbound calls in real time using natural, human-like speech. Particularly within the Eleven Labs platform omitting details for outbound call distribution.
