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Stationary Noise

Definition

Noise whose spectral characteristics remain approximately constant over the duration of a recording. Tape hiss, HVAC fan noise, and mains hum are typical examples. Stationary noise is tractable by spectral subtraction and Wiener filtering.

Property
Spectral characteristics roughly constant over the recording
Examples
Tape hiss, HVAC fan noise, mains hum
Tractable by
Spectral subtraction, Wiener filtering
Field
Audio enhancement and speech intelligibility

Common questions

Why does stationary noise respond better to filtering than non-stationary noise?+

Because its spectral profile stays consistent, a filter can estimate the noise spectrum from a quiet segment of the recording and subtract that same profile throughout, whereas noise that changes character over time defeats a fixed estimate.

Can stationary noise removal introduce its own artefacts into forensic audio?+

Yes. Aggressive spectral subtraction can leave a metallic warble known as musical noise and can also remove low-level speech components that overlap the noise spectrum, so enhancement is applied conservatively and the original recording is preserved for comparison.

Related terms

Non-Stationary Noise
Interference whose spectral content changes over time: a vehicle passing, a crowd noise that rises and falls, or a door slamming. Adaptive...
PESQ / STOI
Perceptual Evaluation of Speech Quality and Short-Time Objective Intelligibility: instrumental measures that predict listener intelligibility without needing human subjects. STOI scores between...
Spectral Subtraction
An enhancement method that estimates the noise spectrum during a speech-free interval and subtracts it from every subsequent frame. Simple and effective...
SWGDE
Scientific Working Group for Digital Evidence. A US multi-agency body that publishes consensus best-practice documents for digital forensic disciplines, including image authentication,...
Wiener Filter
A minimum mean-squared-error filter that computes a frequency-dependent gain function from the signal-to-noise ratio in each frequency band. Less aggressive than spectral...

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