Each clip was processed using Flixier’s “Remove Background Noise” (default intensity), Audacity’s Noise Reduction (FFT-based profiling, 12 dB reduction), and Adobe Premiere Pro’s “DeNoise” (adaptive mode). Objective metrics (PESQ for speech quality, SNR improvement) and subjective listening tests (n=10 media students) were conducted.

Flixier performed competitively on steady-state noise (fan, hiss) but lagged on transient, non-stationary noise (typing).

A video with poor visuals but great sound is often watchable; however, a high-definition video with grating background static is almost instantly dismissed by audiences. Background noise creates "cognitive load," forcing the listener to work harder to understand the speaker. By using the Flixier AI noise reduction tool , creators can "clean up" speech, ensuring their message remains the focal point. The AI Advantage: How It Works

This article explores the technical and creative aspects of cleaning up audio recordings using the Flixier AI audio enhancer .

: It analyzes the recording to distinguish between the chaotic frequencies of noise (like wind or static) and the structured frequencies of human speech.