agent•Updated 09/10/2025

AI Agent Noise Immunity with Krisp

Robust voice agents that maintain high accuracy even in noisy, real-world conditions.

Timeline: Minimal added latency (<5ms)•Est. cost: $0.01 - $0.05 per minute (additional Krisp cost)•Exports: Coming soon — notify me

The Problem

Conversational AI agents often fail when the user is in a noisy environment (e.g., a car, cafe).

Expected Outcome

Robust voice agents that maintain high accuracy even in noisy, real-world conditions.

Tool Chain

Retell AI
Deepgram
Krisp

Implementation Steps

  1. 1

    Audio Stream Ingestion

    The raw audio stream from the user is received by the agent platform.

    Retell AI
  2. 2

    Real-Time Noise Cancellation

    The Krisp SDK processes the audio stream, removing background noise and echoes.

    Krisp
  3. 3

    Clean ASR Processing

    The cleaned audio stream is sent to the ASR engine, drastically improving transcription accuracy.

    Deepgram
  4. 4

    LLM Dialogue and Response

    The agent proceeds with the clean transcript, ensuring reliable intent recognition.

Alternatives

No alternatives available for this stack.

Export Workflow

Coming Soon

Soon you’ll export this stack to Zapier, n8n, or a starter repo with presets (env vars, webhooks, rate limits).

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