Noise Suppression Test

Nothing is recorded until you start the speech phase, and nothing leaves your browser. Starting the baseline below asks for microphone access.

SilentQuietGoodLoudClipping

Stay completely silent for 6 seconds so this can measure your room's true noise floor.

Two six-second capture stages make up the Noise Suppression Test: hit Start Baseline and stay silent so it can read your room's raw noise floor, then hit Start Speech Capture and talk normally so it can measure your Voice Level and calculate the resulting SNR. That's different from the background noise rejection test, which plays noise through your speakers instead of measuring your room as it actually is. Run the check whether your midi is working properly to see exactly what's working and what isn't.

Run the Noise Suppression Test above and read your score before you trust a call, a podcast take, or a stream to sound clean. This tool — sometimes just called a mic test online or a noise cancellation test — measures your microphone's noise floor and signal-to-noise ratio and checks for electrical hum, all through the Web Audio API in your browser. Nothing is uploaded, no registration is required, and it works the moment your browser grants microphone access.

Why This Free Noise Suppression Test Result Actually Matters

A failed run rarely means your microphone is broken — far more often it's your room, your software, or a cable adding noise your ears have already tuned out. Professionals in audio engineering, remote work, and recording studio production run this online noise suppression test for the same reason: it replaces a guess with real dBFS and decibels readings. Podcasters, streamers, and voice actors check it before every session, because what you hear through your own headphones and what a listener actually receives are rarely identical. Run the how well does your mic filter noise to see exactly what's working and what isn't.

Call quality on Zoom or Microsoft Teams, watchability on a livestream, and even voice recognition accuracy on dictation software all degrade the moment background noise creeps above your voice signal — exactly what a noise suppression tester is built to catch before you go live.

How This Noise Suppression Tester Reads Your Microphone's Noise Floor and SNR

Every noise suppression tester — whether it's this one, a broader mic test, or a dedicated microphone test — runs the same three-phase process: measure quiet, measure speech, compare the two. During the silent baseline phase, the tool records your room's ambient noise and your microphone's own self noise; combined, they define your noise floor. A professional condenser microphone can hold a noise floor below -70 dBFS, while a typical USB microphone or dynamic microphone often sits 15–20 dB worse. The check whether your usb mic is working properly gives you a clear answer instead of guessing.

Once you speak, the tester compares your voice level against that noise floor baseline to calculate SNR — formally the signal to noise ratio, though everyone just says SNR:

SNR (dB) = Voice Signal Level (dB) − Noise Floor Level (dB)

Higher SNR always means cleaner audio; a noise floor by itself only matters once you compare it to a live signal. That's why the tester asks you to stay completely quiet before speaking — skip the silent phase and it has nothing accurate to measure your voice against.

Microphone Self Noise vs Room Noise

Not every bit of background noise comes from your room. Microphone self noise — also called microphone self-noise or equivalent input noise (EIN) — is generated by the microphone's own preamp circuitry, and it exists even inside a perfectly silent, treated room. High self noise costs you voice clarity long before it shows up as an obvious hiss, and no amount of room treatment fixes it — only a better microphone does.

FFT
Fast Fourier Transform — how the tester builds its live spectrum analyser view, splitting your audio into individual frequency bands.
Octave bands
A set of frequency ranges, commonly 10 bands from 31.5 Hz to 16 kHz, used to show which part of the spectrum your background noise sits in.
Waveform
The time-domain view of your signal — useful for spotting clipping and sudden noise bursts a single dB number would hide.
Input meter
A live level display showing how hot your signal is arriving, independent of the noise floor measurement.

Quick Pre-Test Checklist

  • Grant microphone access when your browser prompts you, and confirm the correct input device is selected.
  • Close other apps that might be using your microphone, including video-calling software.
  • Stay completely silent during the baseline phase — even a chair creak affects your background noise score.
  • Keep a set of headphones nearby so you can review the playback instead of judging quality from memory.
  • Warm up your voice for a few seconds before the speech phase — a flat, quiet read understates your real signal level.
  • Re-run the test after any change to your setup, not just once at the start of the day.

Browser and Device Compatibility

This tester runs entirely on the Web Audio API, so it works in any modern desktop browser — Chrome, Firefox, Edge, and Safari all support it without a plugin or download. Mobile testing works too, though phone microphones are typically noisier than a dedicated USB microphone, so expect a slightly worse score on a phone even under identical conditions. If your browser blocks microphone permission by default, check your site settings and allow access before starting; without it, the tester has no signal to measure at all.

Categories of Background Noise, and What This Tester Can Actually Tell You Apart

Background noise isn't one thing, and each category needs a different fix. Two of them — mains hum and low-frequency rumble — have a distinctive enough spectral signature that this tool checks for them automatically and flags them in your results. The others below share too much spectral shape for a script to tell apart reliably from an FFT alone; use the live spectrum view and the recorded playback to judge those by ear.

  • Electrical and mains hum — a narrow tone at 50 or 60 Hz caused by wiring or ground loops.
  • HVAC and cooling noise — broadband low-frequency rumble from climate control units or PC fans.
  • Broadband hiss and microphone self noise — flat noise generated by the microphone's own electronics.
  • Traffic and radio interference — irregular environmental noise or unwanted radio-frequency pickup.
  • Plosive and wind bursts — sudden low-frequency spikes from breath or air movement across the capsule.

Hum Detection: Ground Loops and Mains Hum

Mains hum shows up as a narrow, constant tone from power cables, monitors, or unbalanced connections — 50Hz hum in Europe and the UK, 60Hz hum in North America, plus harmonics stacked above it. A ground loop between your interface and your computer is the most common cause; a ground loop isolator or a shielded XLR cable usually clears it. A software notch filter at 50 or 60 Hz is a reasonable stopgap while you fix the wiring.

HVAC Rumble and Fan Noise

Low-frequency HVAC rumble from air conditioning and general fan noise from a PC or ceiling vent sit in the sub-bass and bass range. This category is usually the easiest to fix — closing a window or moving your desk away from a vent audibly lowers your noise floor within seconds.

White Noise, RF Interference, and Wind Noise

White noise is flat, broadband hiss across the spectrum, often from microphone preamp circuitry or a poorly shielded cable picking up RF interference. Wind noise shows up as a sudden low-frequency spike rather than a constant tone — a foam windscreen, not software, is the right fix. Keyboard noise is different again: sharp, high-frequency transients transmitted through your desk into the mic stand, best solved by isolating the stand itself.

SNR Targets for Podcasting, Live Streaming, and Video Conferencing

Signal-to-noise requirements vary a lot by use case. Podcast quality typically calls for at least 30 dB SNR with a noise floor below -60 dBFS, while broadcast quality for radio or TV pushes past 50 dB.

Casual calling and streaming tolerate more, since compression and software noise suppression compensate for weaker hardware. Use the table below as a reference for where your own score should land.

Use CaseTarget SNRNoise Floor TargetTypical Fix
Broadcast / Radio / TV50+ dBBelow -70 dBFSCardioid microphone, acoustic treatment
Podcast / Voiceover30–40 dBBelow -60 dBFSQuiet room, cardioid microphone
Video Conferencing (Zoom, Teams)20–30 dBBelow -55 dBFSSoftware noise suppression, echo cancellation
Live Streaming / Gaming25–35 dBBelow -58 dBFSDirectional microphone, gain adjustment
Voice Recognition / AI Dictation20–30 dBBelow -55 dBFSSound treatment, reduce input volume

Reading the SNR Reference Table

If your score falls below the target for your use case, the fix column is your starting point — the fastest gains almost always come from reducing source noise before you touch any settings at all. Krisp and RTX Voice can add 15–20 dB of effective improvement on top of a clean baseline, but neither works miracles on a microphone sitting right next to a fan.

A Worked Example: Reading Your Results

Say your baseline reading comes back quiet and your voice signal measures a healthy 32 dB above it — that score comfortably clears podcast quality territory. If the same session also flags 60Hz hum underneath, fix the hum first; a clean number on paper still sounds unprofessional on playback if there's a buzz hiding under it. Once you've made a change, don't just trust your memory — run a quick microphone test again and compare the new playback against your first recording, side by side, at the same sample rate.

How to Improve Your Noise Suppression Score

Once you've read your suppression effectiveness rating, work through these fixes roughly in order of impact:

  1. Reduce source noise first — close windows, turn off fans, and move away from HVAC vents before touching any microphone settings.
  2. Move your microphone closer to your mouth; halving the distance adds roughly 6 dB of signal while the noise floor stays constant.
  3. Switch to a directional microphone if you're currently using a built-in laptop or headset microphone in an untreated room.
  4. Enable software noise suppression as a final layer, not a replacement for the steps above.
  5. Retest with this tool after every change so you can see the actual dB improvement instead of guessing.
  6. Play back a short recording through headphones — your ears catch clipping and a muffled voice that a meter alone can miss.
  7. Check your input device in your OS sound settings if levels look unusually low or distorted.
  8. Keep notes on what changed between tests so you know which fix actually helped.

Software Noise Suppression: Krisp, RTX Voice, and Discord

Software noise suppression tools — Krisp, NVIDIA's RTX Voice, and Discord's built-in suppression among them — sit between your microphone and whatever app receives the signal, stripping out steady background noise in real time. To measure their actual effect, run the tester with the software enabled, note your score, disable it, and run the test again; the difference in SNR and noise floor is the software's real contribution, not a marketing number. Most video-calling apps, including Zoom and Microsoft Teams, layer their own echo cancellation and automatic gain control on top, which is why the same headset microphone can test differently inside a call than in a standalone recording.

Microphone Positioning and Room Treatment

Positioning is free and usually delivers the biggest single jump in your score. Point your microphone directly at your mouth, 6–10 cm away, and check your input volume so you're not compensating for distance with excessive gain — high gain amplifies your room's noise floor right along with your voice. Soft furnishings, rugs, and even a blanket behind the microphone reduce room echo noticeably; full acoustic treatment or sound treatment panels go further still, though a quiet room with soft surfaces gets most people most of the way there.

Noise Gate Settings and Hardware Fixes

A noise gate set a few dB below your measured noise floor mutes the microphone between phrases, which helps with steady background hum but does nothing for noise that happens while you're actually talking. For persistent electrical hum, replace unshielded cables or move your interface away from power bricks and monitors — hardware problems need hardware fixes, not just a lower gate threshold. Grant microphone permission again after any hardware change so the tester picks up the new device.

Noise Suppression vs Noise Cancellation: Mic Test Terms Explained

People use "noise suppression" and "noise cancellation" almost interchangeably when talking about microphones, but they describe different things. Noise suppression — what this free online noise suppression test measures — is the reduction of unwanted background noise from an audio signal, achieved through software or microphone design; it's essentially noise reduction applied to your voice signal specifically. Noise cancellation, strictly speaking, refers to active noise cancellation: inverted-phase signals that physically cancel sound waves, the technology found in noise-cancelling headphones rather than in the microphones a noise cancellation analyser like this one evaluates.

Software Noise Suppression vs Active Noise Cancellation

If you've run a general mic test, a broader microphone quality test, or an audio quality test before and been confused by the terminology, this is the distinction to remember: those check how clean your signal already is, while a dedicated noise suppression tester measures how effectively noise is being removed from that signal — whether by software, microphone design, or room treatment. Running this tool answers that second question directly, with real numbers instead of a guess.

None of this replaces good judgment, but it removes the guesswork. Whether you're setting up a home recording studio, prepping for a remote work interview, or just want your podcasting setup to sound as clean as a professional's, running this tool before you go live turns "I think it sounds okay" into an actual number you can trust — and improve on the next time you test.