Overcoming Transcription Challenges for Multilingual AI voice agents

The tutorial outlines a method for creating a French-speaking voice agent capable of real-time conversation using Cerebrium's infrastructure, Twilio's communication platform, and fine-tuned Whisper models. The goal is to reduce the Word Error Rate (WER) while keeping latency and cost low. The process involves setting up a FastAPI server, implementing WebSockets for real-time two-way communication, and integrating the AI agent using Pipecat and Faster-Whisper. The tutorial also covers deploying the application to Cerebrium and optimizing for multilingual deployments.