Audacity Compressor: RMS vs Peak Sensing

Audacity’s compressor includes an option to base its detection on either RMS (Root Mean Square) or Peak levels, determining how the effect analyzes incoming audio to apply gain reduction. While Peak sensing measures the absolute highest transient spikes in a waveform to react instantaneously, RMS sensing calculates the average energy over time to mimic human hearing. Choosing between the two determines whether your compressed audio sounds strictly controlled and punchy or smooth and transparent.

Peak Sensing Explained

Peak sensing monitors the immediate, instantaneous level of the audio signal. The moment a brief audio transient—such as the strike of a snare drum, an aggressive consonant, or a plucked string—exceeds the set threshold, the compressor activates immediately.

RMS Sensing Explained

RMS stands for Root Mean Square, a mathematical calculation of continuous signal power over a brief time window. Instead of reacting to isolated microsecond spikes, RMS sensing assesses the sustained, average volume of the sound. Because human ears perceive loudness based on sustained energy rather than instantaneous micro-peaks, RMS compression feels more natural.

Key Differences at a Glance

When to Choose Which

Select RMS when editing voiceovers, podcasts, singing vocals, or sustained instruments where the objective is consistent, natural-sounding volume leveling.

Select Peak when working with percussive tracks, controlling unpredictable live recordings with extreme dynamic jumps, or when your primary goal is transient shaping and strict peak limitation.