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How to remove echo from a voice recording

The honest version: sometimes you can, often you can only reduce it, and one cheap trick beats every algorithm ever written.

6 min read

You recorded in the kitchen, or the empty office, or that one conference room with the glass walls. The voice is fine. The room is all over it: every word arrives twice, smeared, like the speaker is standing at the far end of a corridor. Can software fix this?

Partially. And it is the most honest “partially” in audio repair, so this article is going to be specific about where the line sits.

Why echo is harder than noise

Noise and voice are different signals layered on top of each other, and modern AI models have become genuinely good at separating them. Reverb is different: it is your own voice, delayed and stacked on itself hundreds of times as it bounces around the room. The interference is made of exactly the material you want to keep. Separating a signal from a distorted copy of itself is fundamentally harder than separating it from something else.

Rooms are measured by RT60: how long sound takes to decay by 60 decibels. A treated studio sits under 0.3 seconds. A typical untreated living room runs 0.4 to 0.7. A bathroom or glass conference room can exceed a full second, and that is the sound everyone recognizes as “recorded in a bathroom.”

What dereverberation software actually does

Classical dereverberation (weighted prediction error filtering, the approach we use) models the late reflections and subtracts its prediction of them. It genuinely reduces light and moderate rooms. It does not return a bone-dry studio take, and on long reverb tails its filter simply cannot reach far enough back in time.

Newer neural approaches can be more aggressive but bring their own trade: at high strengths the voice starts sounding processed, slightly underwater, because the model is reconstructing rather than filtering. Every tool in this category, ours included, is picking a point on the same curve between “still roomy” and “audibly artificial.”

Our own dereverberation is labeled beta for exactly this reason. It helps on light rooms, and we say so; strong reverb is beyond it, and we say that too. If a tool promises to make any room disappear, keep one hand on your wallet.

What actually works, ranked

  1. Get the microphone closer. Reverb strength is a ratio of direct sound to reflected sound. Halving the distance to the mic roughly doubles the direct signal while the room stays constant. A $25 lavalier at 20cm beats a $400 condenser at 1.5m in a live room, every time. This is the cheap trick that beats every algorithm.
  2. Deaden the room while recording. Curtains, a duvet on a stand, a closet full of clothes, soft furniture. You are not soundproofing, just killing reflections; blankets do real work.
  3. Then, and only then, software. Applied to a lightly roomy recording, dereverberation plus a corrective EQ can get you most of the way to presentable. Applied to a bathroom, it gets you a less-bad bathroom.

A realistic workflow for an existing recording

If the recording already exists and re-recording is off the table: run dereverberation at moderate strength rather than maximum (artifacts grow faster than reverb shrinks at the top of the dial), follow with noise reduction if there is hiss, and accept the level of improvement one pass gives you. Stacking repeated passes tends to trade reverb for a hollow, phasey character; we have measured this on our own engine and it is why we recommend single passes. You can hear an honest middle-difficulty example in our demo section, including one where we state plainly that reverb remains.

Sources (links verified August 2026)

  • Nakatani et al., Speech dereverberation based on variance-normalized delayed linear prediction (the WPE method). ieeexplore.ieee.org
  • NARA-WPE: the open-source WPE implementation used in research and production systems. github.com/fgnt/nara_wpe
  • ISO 3382 defines RT60 reverberation-time measurement. iso.org

If you want to hear what your own audio sounds like cleaned up and mastered, the preview is free and takes about half a minute. No account needed.