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Technical Case Study: Signal-to-Noise Ratio in Voice AI

Analyzing the impact of packet-level audio hygiene on End-to-End Latency.

Executive Summary

In a controlled A/B test conducted in us-east-1 (Ashburn, VA), the Telepath Gateway demonstrated a 2.9x reduction in Call Setup Time and a 6.6x reduction in First Turn Latency compared to a direct carrier integration.

By implementing an adaptive Clean Signal Protocol at the edge, Telepath eliminates the "VAD Hesitation" caused by standard carrier background noise, effectively decoupling AI performance from network variability.

Standard Stack: ~2.0s total · Telepath: <1.0s total

Methodology & Control Environment

To isolate the impact of our signal processing, we enforced total geographic parity.

The "First Impression" Gap

The most critical moment in a Voice AI interaction is the "Cold Start"—the time between the user answering and the AI knowing to speak.

Session Establishment (SIP Handshake)

Telepath maintains warm, persistent WebSocket connections to the Inference Cluster, avoiding the overhead of "Cold Booting" a new SIP dialog for every call.

First Turn Latency (The "Hello" Moment)

The difference: Standard carriers pass background noise that confuses AI VADs. Telepath implements a sophisticated clean signal protocol that gives the VAD perfect timing when the moment speech begins.

Steady State & Stability

Once the conversation stabilized, we measured performance under stress.

ASR Latency (Steady State)

Turn Direct Carrier Telepath Delta
Turn 1 (Cold) 829 ms 124 ms -705 ms
Turn 2 139 ms 130 ms -9 ms
Turn 3 142 ms 124 ms -18 ms
Turn 4 130 ms 132 ms +2 ms

Insight: While Direct integration eventually "warms up" (Turn 2+), it fails the critical First Impression. Telepath is instant from millisecond zero.

The Jitter Resilience Stress Test

During testing, the Telepath leg experienced a severe Residential Cable Jitter event.

Telepath's predictive clean signal protocols absorbed the jitter variability without introducing robotic artifacts, proving the system is robust against public internet instability.

Conclusion

The data proves that Standard SIP Trunks are inefficient for Voice AI.

They introduce:

  1. 1.2 Seconds of wasted Setup Time.
  2. 700ms of wasted VAD Hesitation on the first turn.

Telepath reclaims this lost time. We do not make the AI think faster; we clear the path so it can start thinking 1.9 seconds sooner.

Final Verdict: Production Ready.

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