How to Remove Ambient Background Noise in Podsplice

Sometimes you finish recording a video or podcast and realize there is a constant noise in the background.

It might be:

• A computer fan

• An air conditioner

• HVAC noise

• Electronic hiss

• A nearby room fan

• General room tone

These types of sounds are different from sudden noises like a dog barking, somebody dropping something, or a car horn.

Because the noise is relatively steady and consistent, Podsplice can analyze what it sounds like and reduce it throughout your recording.

You can choose between a simple automatic cleanup or let Podsplice learn the noise from a quiet section of your recording.

The Three Noise Reduction Settings

Podsplice gives you three main options.

Off

Off leaves your recorded audio exactly as it was recorded.

If your microphone already sounds clean and there is no noticeable background noise, there is no reason to process the audio.

Noise reduction can slightly affect the sound of a voice, especially at stronger settings, so leaving it off is usually best when you do not need it.

Automatic Light

Automatic Light applies a gentle amount of cleanup automatically.

You do not need to select a noise sample.

It is useful when you have relatively mild background noise such as:

• Light computer fan noise

• Small amounts of hiss

• General room noise

• Very light HVAC sound

Automatic Light is deliberately conservative. The goal is to reduce a little unwanted noise while keeping the voice sounding as natural as possible.

For many normal recordings, this may be all you need.

Learn From a Quiet Sample

If the background noise is more noticeable, you can let Podsplice learn exactly what the unwanted noise sounds like.

Select between 0.5 and 10 seconds of your recording where nobody is speaking.

A 3–5 second sample will usually work well.

For example, if you have a fan running in the background, choose a section where the fan can be heard but nobody is talking.

Podsplice analyzes that section and creates a frequency profile of the background sound.

It then looks for those same frequencies throughout the microphone recording and reduces them.

Choose Your Sample Carefully

For the best result, your sample should contain only the background noise you want removed.

Do not choose a section containing:

• Speech

• Music

• Keyboard taps

• Doors closing

• Other people talking

• Sudden noises

The cleaner the sample, the more accurately Podsplice can identify the steady background sound.

How Much Noise Reduction Should You Use?

After selecting a quiet sample, you can choose how strongly Podsplice reduces the learned noise.

The strength is measured in decibels (dB).

The larger the reduction, the more aggressively Podsplice removes the background noise.

However, stronger processing can also have a greater effect on the natural sound of your voice.

That is why you normally want to use the lowest setting that solves the problem.

Gentle — 6 dB

Gentle removes approximately 6 dB of the learned background noise.

This is the lightest noise reduction option.

Use it when the background noise is present but not particularly distracting.

It has the smallest impact on speech quality and is a good choice for recordings where you want to preserve as much of the original sound as possible.

Moderate — 12 dB

Moderate reduces the learned noise by approximately 12 dB.

This is usually the best place to start.

It can make a noticeable difference with common problems such as:

• Computer fans

• Room fans

• Air conditioning

• Electronic hum

• Consistent background hiss

In most cases, Moderate can substantially improve the recording without making the speaker's voice sound noticeably processed.

If you are unsure which setting to use, start with Moderate.

Stronger — 18 dB

Stronger applies approximately 18 dB of noise reduction.

This is useful when the background noise is fairly prominent and Moderate does not remove enough of it.

At this level, you may begin to notice a small change in the texture of the voice.

That does not necessarily mean it will sound bad, but you should listen to the exported result and compare it with the original.

Maximum — 24 dB

Maximum applies up to approximately 24 dB of noise reduction.

This is designed for unusually loud and constant background noise.

For example, in our test recording we deliberately used a very loud fan to demonstrate how much noise could be removed.

Maximum can be useful for rescuing a recording that would otherwise be difficult to use.

However, aggressive noise reduction can sometimes make speech sound:

• Watery

• Metallic

• Less natural

• Slightly processed

For that reason, do not automatically choose Maximum just because it removes the most noise.

Start with Moderate and move up only when necessary.

What Happens When Podsplice Removes the Noise?

Noise reduction is applied as part of the export process.

First, Podsplice reads the quiet section you selected and creates a profile of the background noise.

It then reduces frequencies matching that profile throughout the selected microphone track.

After the noise is reduced, Podsplice also adjusts the speaking level using a fixed, peak-safe level adjustment.

This is important because simply making an entire recording quieter can sometimes give the impression that the noise reduction worked better than it really did.

The goal is to keep the voice at a useful listening level while reducing the unwanted background sound.

The processed microphone tracks are then mixed together into your final exported video.

Why Doesn't the Editor Preview Sound Different?

The audio you hear while previewing your project inside the editor is still the original recorded audio.

The noise reduction is applied when Podsplice processes the final export.

So after changing your noise reduction settings, export the video and listen to the resulting file.

This also makes it easy to compare the original recording with the processed version.

Noise Reduction for Interviews

Noise reduction can be especially useful for remote interviews and podcasts.

For example, your microphone may sound perfectly clean while your guest has:

• A laptop fan

• An air conditioner

• Background hiss

• A noisy room

You do not need to apply noise reduction to every participant.

Choose the microphone containing the unwanted sound and process only that microphone.

This preserves the original audio quality of the other speakers while cleaning up the problematic track.

What Types of Noise Work Best?

Noise profiling works best with sounds that remain fairly consistent over time.

Good examples include:

• Fans

• Air conditioners

• HVAC systems

• Computer fans

• Electrical hum

• Electronic hiss

• Steady room tone

It is much less effective for unpredictable sounds such as:

• Dogs barking

• Keyboard clicks

• Traffic horns

• Doors closing

• People talking

• Sudden impacts

Those sounds change too much for a simple background-noise profile to remove them cleanly.

Tips for Better Results

For most recordings:

1. Find 3–5 seconds with no speech.
Choose a section containing only the unwanted background noise.

2. Make sure the noise is representative.
The fan or hum during your sample should sound similar to the noise during the rest of the recording.

3. Start with Moderate — 12 dB.
This is generally a good balance between noise removal and natural voice quality.

4. Increase the strength only if necessary.
Try Stronger or Maximum if too much noise remains.

5. Export a short test.
Listen to the processed audio before exporting a long project.

6. For interviews, process only the noisy microphone.
There is no reason to alter clean tracks.