Overview
Technology that converts a voice agent's text responses into natural-sounding synthesized speech that callers hear.
Why it matters
Use when your voice agents sound robotic, need different voices for different brands, or require multilingual support.
How it works
Text-to-Speech (TTS) works by processing voice data through multiple stages of the AI pipeline, from recognition through understanding to response generation.
Common issues
Organizations implementing Text-to-Speech (TTS) frequently encounter configuration challenges, edge case handling, and maintaining consistency across different caller scenarios. Issues often arise from inadequate testing, poor prompt engineering, or misaligned expectations. Automated testing and monitoring can help identify these issues before they impact production callers.
Implementation guide
Consider Hamming's recommendation to use streaming TTS for faster time-to-first-word. Pre-generate common responses where possible to eliminate TTS latency for frequent interactions.