Real-Time Multilingual Voice Translator

The Challenge

Real-time conversation translation demands extremely low latency to feel natural — most speech pipelines introduce noticeable lag.

The Approach

• Built a POC using Deepgram voice agents for streaming speech-to-text and text-to-speech.
• Optimized the FastAPI backend pipeline for sub-second end-to-end translation latency.

Results

• Achieved sub-second end-to-end latency across multiple language pairs.
• Validated a production-viable architecture for real-time voice translation products.