Disclosure: This post contains affiliate links. We may earn a commission if you try the tools mentioned, at no extra cost to you. Our reviews are based entirely on independent forensic audio testing.

The Science of Audio Artifacts & How to Prevent Them

According to the principles of audio signal processing, mouth clicks are transient high-frequency bursts. They are incredibly sharp and short. In the past, audio engineers used expensive manual de-clicker plugins. You had to look at a spectral waveform and erase the clicks by hand using a digital paintbrush. It took hours of tedious labor.

Today, creators demand efficiency. They want a fast, automated way to remove mouth noises from audio AI algorithms can process in seconds. However, the best cure is always prevention. Even before you attempt to remove mouth noises from audio AI processing, you should employ these physical recording techniques:

• Hydration is Key: Drink room-temperature water 30 minutes before recording. Avoid coffee or dairy, as they create thick saliva, leading to more clicks.
• The “Green Apple” Trick: Professional voiceover artists eat tart green apples before stepping up to the mic. The acidity naturally clears away sticky saliva.
• Microphone Distance: If you use a sensitive condenser microphone and speak too closely, it will pick up every single lip smack. Back away 4 to 6 inches. The closer you are, the harder it becomes to remove mouth noises from audio AI software will struggle if the click is louder than the vocal.

Enter the Specialist: Cleanvoice AI

Unlike general “denoisers” that just block out background air conditioners or traffic, Cleanvoice AI is a specialized “cleaning editor.” It doesn’t just listen to raw frequencies; it listens to human speech patterns.

To truly push this software to its limits, we ran a heavily flawed, 60-minute raw podcast file through Cleanvoice specifically to test its ability to remove mouth noises from audio AI style.

Test 1: Removing Mouth Clicks & Lip Smacks

We recorded a sample intentionally making “wet mouth” sounds (ASMR style) to completely stress-test the algorithm. We needed to see if it could accurately remove mouth noises from audio AI engines usually miss, without damaging the actual dialogue.

The Verdict: Cleanvoice detected 95% of the mouth sounds. Crucially, it did NOT cut off the sharp consonants at the beginning of words (like “T”, “P”, or “K”). This is a notorious and frustrating problem when you try to manually remove mouth noises from audio AI systems aren’t trained for. Often, standard plugins confuse a “K” sound for a click and delete it, giving the speaker a lisp. Cleanvoice avoided this entirely.

Test 2: Removing Stuttering & Dead Air (The Hardest Test)

Many tools claim to be the best filler word remover, but most only catch the standard “um” and “uh.” What about stuttering? Stuttering is incredibly hard for software to navigate because the speaker is saying valid vocabulary words, just repeating them nervously.

It is one thing to remove mouth noises from audio AI tools must also handle these conversational mistakes gracefully. Cleanvoice has a specific “Stutter Remover” toggle designed specifically to handle this human element.

Why this matters: Manually editing out “to the… to the…” requires surgical precision. If you just chop the audio block out, the background breath gets cut abruptly, sounding completely unnatural. Cleanvoice performs this edit automatically by seamlessly cross-fading the remaining audio segments, ensuring the “room tone” never drops out.

How to Remove Mouth Noises from Audio AI: Step-by-Step Workflow

Integrating a new AI tool into your podcasting or YouTube workflow can seem daunting. Here is the exact step-by-step process professional editors use when integrating Cleanvoice:

1. Record Normally: Record your podcast in your preferred software (Audacity, Logic Pro, Riverside, etc.).
2. Export Unprocessed Audio: Do not add EQ, compression, or reverb yet. Export the dry, raw WAV file.
3. Upload to Cleanvoice: Create a new project. Here, you can choose what you want to remove. If you only want to remove mouth noises from audio AI processing allows you to uncheck “Stuttering” and “Ums” if you prefer to keep those conversational elements.
4. Export Timeline Data (Advanced): This is Cleanvoice’s secret weapon. Instead of exporting a flattened audio file, you can export an XML or EDL timeline file. When you drag this back into Premiere Pro or Logic Pro, it automatically creates non-destructive cuts on your timeline! You retain full control over every single edit.

Who Should Use Cleanvoice AI?

While podcasters are the obvious target market, the ability to effortlessly remove mouth noises from audio AI solutions provide is a game-changer for several other industries:

• Audiobook Narrators (ACX): Amazon’s ACX platform has incredibly strict audio requirements. If your audiobook is full of lip smacks and swallowing sounds, it will be rejected. Cleanvoice helps narrators pass ACX Quality Control instantly.
• YouTube Faceless Channels: Voiceover artists who record multiple scripts a day cannot afford to manually edit out breaths and clicks. This tool cuts production time in half.
• ASMR Artists: Ironically, if an ASMR artist wants to isolate specific triggers while removing unwanted random mouth clicks, surgical AI editing is essential.

Is it Worth Paying For? (The ROI Breakdown)

Users constantly search for how to remove uhm and ah from audio free. You can absolutely do it for free in an open-source DAW, but when you factor in the sheer amount of manual labor required to manually remove mouth noises from audio AI becomes an absolute bargain.

If you value your time at even $20 an hour, spending 3 hours manually zooming in on waveforms costs you $60 in lost productivity per episode. Cleanvoice’s pay-as-you-go credit system costs mere cents per hour of audio.

Cleanvoice vs. The Competition

vs. Adobe Podcast Enhance

Adobe Enhance is a vocal “Resynthesizer.” It is fantastic for removing loud background noise like street traffic or extreme room echo. (Read our full Adobe Podcast Enhance Review to understand its specific limits).

However, Adobe will not remove filler words or dead air. More importantly, it cannot reliably remove mouth noises from audio AI systems like Adobe often make mouth sounds louder because the AI mistakenly thinks the sharp click is a consonant that needs to be enhanced!

vs. Descript

Descript is a phenomenal full-suite video and text-based editor. It detects text-based “ums” and “uhs” exceptionally well (see our full Descript Review). However, if you specifically need to remove mouth noises from audio AI mastering tools like Cleanvoice are vastly superior because they analyze the raw acoustic waveform, not just the transcribed text. Descript cannot “read” a lip smack, but Cleanvoice can hear it.

vs. iZotope RX Mouth De-Click

For over a decade, iZotope RX has been the industry standard to remove mouth noises from audio AI has finally caught up. While iZotope gives audio engineers granular, knob-turning control over frequency ranges, it costs hundreds of dollars and requires a steep learning curve. Cleanvoice offers 95% of iZotope’s quality with literally zero learning curve.