Microphone hiss: find the cause and fix it
Find where the “shhh” enters your recording, fix the next take, or rescue a file you cannot record again. Start with the symptom that matches your setup.
- Start with this one-minute mic test
- Locate the hiss with three controlled takes
- Hiss, hum or crackling? Listen to the pattern
- Check distance and input gain together
- Why turning the volume down is not a hiss fix
- Listen for three different failure points
- Reduce hiss in a recording you already have
- Measure a pause without mistaking it for silence
- How to read the before-and-after graphs
- Recording credits
Start with this one-minute mic test
Save a 15-second test: a few seconds of room sound, one ordinary sentence, then a quieter sentence. Say “The first and last words should both be clear.” Use your normal recording app or record a sample with Mic Test, and note the selected microphone.
The saved file hisses elsewhere
Play the downloaded file on another device at a normal voice volume. If the same hiss travels with it, continue with the recording checks below.
The saved file is clean elsewhere
Keep the file unchanged. Compare another headphone output or another pair of headphones. Processing the file will not repair noise added by playback.
Locate the hiss with three controlled takes
Keep the same sentence and normal speaking effort. Save each take separately; do not overwrite the baseline. Leave automatic gain and suppression unchanged while comparing positions. If you disable an effect to investigate it, make that a separate test.
| Take | Change only this | Read the result |
|---|---|---|
| A · Baseline | Use your usual mic position and settings. | This is the file every later take is compared with. |
| B · Room | Stop a nearby room fan briefly, if practical, without moving the mic. If it changes the noise, use the fan-noise recording guide to test a better microphone position. Leave computer cooling running. | Less hiss at the same voice level points to an acoustic contribution. If unchanged, continue; this does not prove the mic is faulty. |
| C · Distance | Restore take A, then move closer. Reduce input gain only if needed to avoid clipping. | Match voice playback level with A. Less background relative to speech makes placement a useful fix. More bass or breath pops means you need a little more space or an off-axis position. |
Hiss, hum or crackling? Listen to the pattern
| What you hear | What to check first |
|---|---|
| Steady, airy hiss | Room noise, input level and the recording chain. Repeat the test with nearby fans off when practical. |
| Low hum or buzz | Use the microphone hum troubleshooting guide to check connected devices, cables and power. This has a different sound from a broad hiss. |
| Intermittent clicks or crackles | A loose connection or a problem that appears when a cable moves. Try a known-good cable with the input muted. |
| Harsh sound on loud words | Input peaks. Lower the recording gain and repeat the loudest phrase. |
You can compare the sound with Shure’s recorded examples of common microphone noises. A sound pattern is a starting point, not proof that one part is faulty. Compare the saved file and a second setup before replacing equipment.
Check distance and input gain together
Move the microphone a little closer to your voice and repeat the sentence. Keep it slightly off to one side if breath sounds hit the capsule. Leave enough space to speak naturally.
Adjust the input gain so your loudest words have room below the maximum. Then compare both takes at similar voice volume. Changing distance and gain together can improve the balance between voice and room sound.
For a microphone connected to an interface or mixer, check that you selected a microphone input. Shure’s explanation of microphone and line levels explains why a line input expects a stronger signal. Turning up a mismatched input can make hiss more obvious. USB microphones do not use that same external mic-versus-line connection.
Why turning the volume down is not a hiss fix
Imagine a voice measured at −24 dBFS and a pause at −48 dBFS using the same RMS meter. Lowering the whole file by 12 dB gives −36 and −60 dBFS. Both changed equally: the 24 dB gap stayed the same. These are worked numbers, not measurements from your microphone.
Original
Voice −24 · Pause −48 → gap 24 dB
Volume down 12 dB
Voice −36 · Pause −60 → gap 24 dB
Raise the playback volume to hear the voice as loudly as before and the hiss comes back too. This is why the distance test and the listening examples use comparable voice levels. Do not choose a take just because its meter or its waveform looks smaller.
Listen for three different failure points
Listen to three different voices with added hiss, then compare each recording after Noise Removal. These are real audiobook narrators. The hiss was added for this demonstration; it was not captured by their microphones. The spoken passages are kept intact, including their pauses.
The voice levels are matched for comparison. Keep your headphone volume comfortable and unchanged. Listen during a pause, then listen to the next word: does the voice stay clear as the background changes?
1. Garth Comira — Broad, steady hiss. Listen to the spaces between phrases and the ends of words.
Inspect the before-and-after spectrogram

2. Heather Barnett — Brighter, stronger hiss. Compare the softer parts of the voice. Check whether consonants remain easy to hear.
Inspect the before-and-after spectrogram

3. Anders Lankford — Softer, air-like hiss. Listen for background noise under the speech, as well as in pauses. Check that word endings are not cut short.
Inspect the before-and-after spectrogram

Each “after” file is the processed version of its matching “before” recording. Turning the whole recording down would lower the voice and hiss together. Noise reduction changes that balance, but it can also change the voice: choose by speech clarity, not by the quietest pause alone.
Reduce hiss in a recording you already have
For adjustable cleanup, follow Audacity’s Noise Reduction instructions: select a noise-only pause, open Noise Reduction and get a noise profile. Select the passage to treat, reopen the effect and preview a modest reduction. Use Residue to hear what would be removed; recognizable words there mean you should reduce the strength or sensitivity.
| After cleanup | Decision |
|---|---|
| Words stay clear; a little hiss remains | Keep this candidate and judge it in the finished recording at normal volume. Chasing total silence may make it worse. |
| Soft consonants disappear or the voice warbles | Return to the original. Use a gentler setting in an adjustable editor, or keep the original if it communicates better. |
| The important words were already buried | Record those lines again if possible. Keep the microphone position and room tone consistent with the surrounding passage. |
Measure a pause without mistaking it for silence
In the detailed Mic Test analysis, select a pause with room sound and no speech or music. Compare that section across takes made with the same setup. An edited silent gap cannot tell you how noisy the microphone was.
A lower background reading is useful only alongside a clear voice at a comparable level. Use the LUFS Meter to compare recording levels and peaks. There is no single noise reading that identifies the faulty device or guarantees a good recording.
How to read the before-and-after graphs
A spectrogram shows how sound changes over time. Read left to right through the recording; higher frequencies are higher up. Bright yellow means a stronger signal at that frequency. Purple and black show weaker sound.
Yellow does not automatically mean noise: speech can be yellow too. Start with a pause, then follow the sound into the next word. Both panels use the same time, frequency and colour scales and come from the exact audio files below.
| What to compare | What to do with it |
|---|---|
| Colour spread across a pause | Compare the background in the same pause before and after. |
| The patterns during soft words | Play that phrase and check consonants and word endings. A darker chart alone is not a quality score. |
| Noise comes back in the next take | Repeat the distance and input checks, changing one thing at a time. |
The hiss charts show 0–8,000 Hz; the hum charts zoom in to 0–800 Hz. Open a chart at full size for detail. A black area means little energy on this colour scale, not proof of perfect silence.
Recording credits
Recording credits: The Ashiel Mystery, read by Garth Comira; Sense and Sensibility, read by Heather Barnett; The Age of Chivalry, read by Anders Lankford. Audio from the LibriSpeech collection, adapted by Loudness.ai with added hiss, noise reduction and level matching. The source recordings are licensed under CC BY 4.0.