Time-to-First-Audio (TTFA)

Time from user input completion to when synthesized speech begins playing.

Definition by Hamming AI, the voice agent QA platform. Drawing on 10M+ mins protected across 10K+ voice agents.

Expert-reviewed · 1 min read · Updated

Overview

Time from user input completion to when synthesized speech begins playing.

Why it matters

High TTFA breaks conversation rhythm. It includes both LLM and TTS processing time.

How it works

Time-to-First-Audio (TTFA) is calculated by measuring the time between specific events in the voice agent pipeline. The measurement starts when the triggering event occurs and ends when the measured outcome is achieved.

Common issues

Organizations implementing Time-to-First-Audio (TTFA) frequently encounter challenges with measurement accuracy, inconsistent performance across different network conditions, and difficulty achieving target benchmarks. High Time-to-First-Audio (TTFA) often results from inadequate infrastructure, unoptimized models, or poor network connectivity. Automated testing and monitoring can help identify these issues before they impact production callers.

Implementation guide

To optimize Time-to-First-Audio (TTFA), start by establishing baseline measurements using monitoring tools. Set realistic targets based on your use case. Customer service applications typically require performance within industry benchmarks. Implement caching strategies, optimize model selection, and use edge deployment where possible.

Frequently asked
questions.

Browse every answer on the FAQ page