AI NoiseSense

Edited

Overview

AI NoiseSense is an intelligent noise reduction feature built into RoomHub.

It automatically separates human speech from background noise and reduces anything that isn’t speech. The goal is simple: conversations stay clear and natural, even in challenging environments.

AI NoiseSense works continuously in the background. No manual tuning is required.


How It Works

AI NoiseSense uses machine learning models trained on a wide range of voices, accents, and speaking styles.

This allows the system to reliably recognize speech and distinguish it from other sounds in real time.

As audio is captured, the algorithm analyzes what it hears and categorizes noise into two common types.

Noise Type

Example

How AI NoiseSense Responds

Static noise

HVAC, air conditioning, equipment hum

Gradually reduces or removes steady noise

Dynamic noise

Chairs moving, doors closing, coughing, typing

Detects and suppresses short, irregular sounds

By treating each type differently, speech remains natural while distractions are reduced.


What You’ll Hear

With AI NoiseSense enabled:

  • Voices remain clear and intelligible

  • Background sounds fade naturally

  • Speech does not sound clipped or artificial

The result is a more focused listening experience for everyone in the room.


When to Use AI NoiseSense

AI NoiseSense can be enabled or disabled in RoomHub settings, depending on the space.

It works well in:

  • Business meeting rooms

  • Classrooms

  • Courtrooms

  • Conference and training spaces

Enable it in shared or noisy environments where background sounds are unpredictable.

In very quiet rooms, it can be left off without affecting system performance.


In Summary

AI NoiseSense keeps conversations clear by reducing what doesn’t matter and preserving what does.

Key points:

  • Automatically distinguishes speech from noise

  • Handles steady and sudden sounds differently

  • Works in real time with no manual adjustment

Turn it on when noise is present.
Let RoomHub focus the room on people, not distractions.