Effectively removing background noise involves a mix of capturing "room tone" for software profiling (using tools like Audacity or Adobe Audition), applying noise gates to mute silence, and using AI tools like ElevenLabs or Adobe Podcast AI. The best results combine proper microphone technique (using dynamic mics) with post-production noise reduction to eliminate hiss, hums, and traffic.

This video demonstrates how to use noise reduction tools in a podcast editing software:

01:00

Podcast Editing Tips - Noise Reduction For Beginners ...Mike RussellYouTube• Feb 2, 2024

Pre-Production: Prevent Noise

• Choose the Right Space: Record in small, quiet rooms with soft furnishings (carpets, curtains) to minimize echo.
• Use Dynamic Microphones: These mics are less sensitive to distant background sounds compared to condenser mics.
• Proper Mic Placement: Place the mic a hand-width away from the mouth, speaking directly into it to keep gain low.
• Record Room Tone: Record 10-15 seconds of silence before starting the interview to capture the room's ambient noise profile.

Post-Production: Cleaning Audio

• Noise Reduction/Noise Print: In your DAW (Audacity/Audition), select a sample of pure silence (the room tone) and use the "Capture Noise Print" tool to train software on what to remove.
• Use Noise Gates: Implement a Noise Gate to completely cut audio signals below a specific threshold (e.g., when the speaker isn't talking).
• AI Enhancement Tools: Use AI-based tools like ElevenLabs Voice Isolator or Adobe Podcast AI to automatically separate voices from noise.
• Apply Filters: Use a High-Pass Filter (around

80

−100

Hz

) to remove low-frequency rumble like traffic or HVAC systems.

• Spectral Editing: Use spectral repair tools (e.g., in iZotope RX) to identify and remove specific, intermittent noises.

This video shows how to use iZotope RX10 to remove background noise from a podcast:

47s

How to Remove Noise from Dialogue in PodcastsiZotope, Inc.YouTube• Sep 28, 2022

Key Tools for Audio Cleanup

• Audacity : Free, open-source DAW with effective noise reduction.
• Adobe Audition : Advanced spectral editing tools.
• iZotope RX10 Elements : Industry-standard for repairing dialogue.
• ElevenLabs Voice Isolator : AI-powered noise removal.
• Adobe Podcast AI : Free AI tool for enhancing audio quality.

Caution: Over-applying noise reduction can make voices sound robotic or hollow (artifacts). It is often better to have a tiny amount of natural background noise than to over-process the audio.

Improving podcast interview audio comes down to a combination of good cleanup editing + smart processing order + (ideally) a cleaner recording upfront. Here’s a practical workflow that works in tools like Audacity, Adobe Audition, Descript, or even AI enhancers.

---

1. Start with the cleanest possible source (this matters most)

Before editing:

• Record in a quiet, soft room (curtains, carpet, couch help a lot)

• Use a decent mic close to the mouth (6–12 inches)

• Reduce room echo (blank walls = worst offender)

• Turn off fans, AC, or anything constant and loud

Even the best noise reduction can’t fully “fix” bad recordings—if the voice is buried, cleanup will sound artificial or watery.

---

2. Remove constant background noise first (hum, hiss, fan)

This is your core cleanup step.

In most editors:

• Find a section where only noise is present (room tone)

• Capture a “noise profile” / “noise print”

• Apply noise reduction across the whole track

Typical tools:

• Noise Reduction / Noise Print (Audacity, Adobe Audition)

• Adaptive Noise Reduction (for changing noise like traffic or wind) videoproc.com

Key tip:
Don’t overdo it—too much reduction causes robotic or underwater voice artifacts. Start light (10–30%) and increase only if needed.

---

3. Cut or reduce problem spots manually

Noise reduction won’t handle everything.

Use editing tools to:

• Remove loud bumps, chair squeaks, or mic hits

• Lower or mute sections with sudden noise

• Use spectral editing (if available) to “paint out” unwanted sounds

Adobe Audition-style tools like spectral view or healing brush are especially effective here adobe.com

---

4. Improve voice clarity (this is where “pro sound” comes from)

After cleaning noise:

Use EQ (equalization)

• High-pass filter around 70–100 Hz → removes rumble

• Slight boost around 3–5 kHz → improves clarity

• Reduce harsh frequencies (often 2–4 kHz or 7–9 kHz depending on voice)

Add light compression

• Evens out volume differences between speakers

• Makes interviews sound more “radio-like”

---

5. Normalize or level audio

• Set final loudness consistently (don’t let one speaker be louder)

• Target common podcast loudness:

• Around -16 LUFS (stereo) or -19 LUFS (mono)

This ensures consistent playback across headphones and apps.

---

6. Use AI enhancement (optional but powerful)

Modern tools can dramatically help:

• Adobe Podcast Enhance Speech

• Descript Studio Sound

• Auphonic

These can:

• Reduce background noise

• Improve vocal presence

• Level multiple speakers automatically

But be careful—overuse can make voices sound synthetic.

---

7. Fix echo separately (important distinction)

Noise reduction ≠ echo removal.

If your room sounds “boxy” or reverby:

• Noise reduction won’t fix it well

• You need:

• De-reverb tools (if available)

• Or better recording environment next time

---

8. Recommended processing order (important)

A solid order is:

1. Noise reduction (clean constant noise)

2. EQ (shape voice)

3. Compression (even dynamics)

4. De-esser (reduce harsh “s” sounds)

5. Normalize / loudness matching

6. Final polish (optional AI enhancement)

---

Common mistakes to avoid

• Overusing noise reduction → robotic voice

• Boosting volume before cleanup → amplifies noise too

• Trying to “fix echo” with noise filters

• Skipping room treatment and relying only on software

---

If you want, I can tailor this

If you tell me:

• what software you’re using (Audacity, Adobe Audition, Descript, etc.)

• and what kind of noise you’re dealing with (fan, echo, traffic, hiss)

I can give you a step-by-step exact settings workflow.

Improving podcast interview audio usually comes down to two goals: (1) reducing constant background noise (fans, hum, room tone) and (2) improving voice clarity and balance. The good news is you can get very clean results even from imperfect recordings if you follow a solid workflow.

Here’s a practical, proven approach used in podcast editing:

---

1. Start with noise reduction (but don’t overdo it)

The most important rule: remove steady noise first, not everything at once.

Best methods:

• AI tools (fastest option):
  Tools like Adobe Podcast Enhance or similar AI denoisers can dramatically clean up interviews in one pass by isolating speech and suppressing background noise podcast.adobe.com

• Manual tools (more control):
  In software like Audacity or Adobe Audition:

1. Find a “silent” section (room tone only)

2. Capture a noise profile

3. Apply gentle noise reduction across the track stemsplit.io

Key tip:

Don’t try to remove 100% of the noise. That often causes “underwater” or robotic artifacts. Aim for reduction, not elimination.

---

2. Remove echo before polishing anything else

If your interview sounds “roomy” or hollow, that’s reverb—not noise.

Fixes:

• AI de-reverb tools (best option)

• Recording environment treatment next time (closets, soft furniture, blankets)

Echo is harder to fix than background hum, so treat it early in the chain.

---

3. Clean up speech with EQ (huge improvement)

EQ is where audio starts sounding “professional.”

Basic settings:

• High-pass filter at 80–100 Hz → removes rumble

• Cut 200–400 Hz → reduces muddiness

• Slight boost around 2–5 kHz → improves clarity

This alone can make voices sound much more “podcast-ready” podmod.ai

---

4. Control dynamics with compression

People naturally speak unevenly in interviews.

Compression helps:

• Quiet speech becomes more audible

• Loud parts don’t overwhelm

Good starting point:

• Ratio: 2:1 to 4:1

• Medium attack/release

This creates consistent “radio-style” audio.

---

5. Remove sudden noises manually

Noise reduction won’t fix everything.

You still want to manually:

• Cut coughs, chair squeaks, phone buzzes

• Reduce background interruptions between speech

• Use fades instead of hard cuts

This is where podcasts go from “edited” to “clean.”

---

6. Use a noise gate (optional but powerful)

A noise gate automatically lowers sound when nobody is speaking.

Good for:

• Keyboard noise

• Room hum between sentences

Be careful: set it too aggressively and it will chop words.

---

7. Final loudness normalization

Before publishing:

• Normalize to around -16 LUFS (stereo podcast standard)
  This ensures consistent volume across platforms.

---

A simple workflow you can follow

1. AI or manual noise reduction

2. De-reverb (if needed)

3. EQ cleanup

4. Compression

5. Manual editing (cuts & cleanup)

6. Noise gate (optional)

7. Loudness normalization

---

Biggest mistakes to avoid

• Overusing noise reduction (causes robotic voice)

• Skipping room treatment during recording

• Fixing everything in one plugin instead of step-by-step processing

• Not using good headphones during editing

---

If you want, I can tailor this to your setup

Tell me:

• what you recorded on (Zoom, phone, mic model, etc.)

• what software you’re using (Audacity, Adobe Audition, Descript, etc.)

I can give you a very specific step-by-step preset workflow for your exact situation.

Effectively removing background noise and enhancing podcast audio involves a mix of proper recording techniques and post-production, including using AI tools (e.g., Adobe Podcast AI, ElevenLabs) or spectral editing. Prioritize recording in a quiet, soft-furnished room (e.g., a closet) and using a dynamic microphone with a pop filter to prevent noise.

Pre-Production: Preventing Noise

• Select the Space: Avoid rooms with hard surfaces (echo). Choose spaces with carpets, curtains, or closets packed with clothes.
• Microphone Technique: Use a dynamic microphone and keep it 3-6 inches from the mouth.
• Reduce Ambient Noise: Turn off air conditioning, fans, and refrigerators.
• Monitor Levels: Use headphones to monitor in real-time, aiming for peaks between -12 and -6 dB.

Post-Production: Cleaning and Enhancement

• AI Enhancement Tools: Use tools like Adobe Podcast AI or Descript's Studio Sound to automatically remove noise and echo, which can produce studio-like results.
• Spectral Editing: Use software like iZotope RX to visually identify and remove noises.
• Noise Reduction Profile: In DAWs like Audacity or Adobe Audition, record 5-10 seconds of room tone, then use "Noise Reduction" to learn the profile and remove it.
• Noise Gates: Apply a noise gate or expander to cut audio completely during silences, which removes background hiss.
• Essential Effects:
• High-Pass Filter (Low Cut): Removes low-frequency rumble.
• Compressor: Evens out volume levels between speakers.

Recommended Software

• Free: Audacity, GarageBand.
• Paid/Advanced: iZotope RX, Adobe Audition, Descript.
• AI-Powered: Adobe Podcast AI, ElevenLabs, Auphonic.

Improving podcast interview audio comes down to two things: fixing the recording at the source and cleaning it properly in post-production. You’ll get the best results by combining both, because no amount of editing can fully rescue a badly recorded track.

Here’s a practical, workflow-based approach that works for most podcast setups:

---

1. Start with the cleanest possible recording (this matters most)

Even great noise reduction tools struggle if the original audio is messy.

• Record in a quiet, soft room (carpets, curtains, closets help absorb echo) podmod.ai

• Keep microphones 6–12 inches from the mouth with a slight off-axis angle to reduce plosives cuepodcasts.com

• Use closed-back headphones so you can catch hums or buzz in real time podmod.ai

• Set levels so peaks stay around -12 to -6 dB (avoids distortion and keeps noise lower) podmod.ai

If you get this right, everything downstream becomes easier.

---

2. Remove obvious problems first (before “noise reduction”)

Don’t jump straight into heavy processing.

In your editing software (Audacity, Adobe Audition, Descript, etc.):

• Cut out:

• long pauses

• filler words

• coughs, chair squeaks, interruptions

• Split noisy sections and handle them separately

• Replace gaps with “room tone” (background silence from the same recording)

This keeps the audio natural and avoids over-processing artifacts podsmiths.co

---

3. Apply noise reduction carefully (less is more)

This is where most people overdo it.

Best approach:

• Find a “noise profile” (a section where no one is speaking)

• Apply gentle noise reduction in small amounts

Tools you can use:

• Audacity Noise Reduction (free, basic but effective)

• Adobe Audition “Noise Reduction / DeNoise”

• iZotope RX (industry standard, most powerful)

Key rule:

• Use light settings first , then increase only if needed

Over-aggressive settings cause:

• robotic voices

• “underwater” artifacts

• hollow, unnatural speech podrewind.com

---

4. Fix tonal issues after cleaning (EQ + compression)

Once noise is reduced, audio often sounds thin or dull.

Do this next:

EQ (equalization)

• High-pass filter at ~80–100 Hz (removes rumble)

• Slight cut around 200–400 Hz (reduces muddiness)

• Small boost around 2–5 kHz (improves clarity)

Compression

• Smooths volume differences between speakers

• Makes the conversation sound more consistent

---

5. Control remaining noise with targeted tools

If you still have issues:

• De-hum tools for electrical buzz (50/60 Hz tones)

• De-click / de-plosive tools for mouth sounds

• Spectral editing (best for isolating specific noises like sirens or chair squeaks)

Advanced tools like iZotope RX are especially good here izotope.com

---

6. Normalize and export properly

Before publishing:

• Normalize loudness (commonly around -16 LUFS for podcasts)

• Check consistency across speakers

• Export in high-quality WAV or high-bitrate MP3 (at least 128–192 kbps)

---

7. The biggest mistake to avoid

Don’t try to “erase everything.”

A little consistent background noise is better than:

• warbling audio

• robotic voices

• unnatural artifacts

Listeners prefer natural + slightly imperfect over heavily processed sound podrewind.com

---

Simple workflow summary

1. Record clean audio

2. Cut mistakes and unwanted sections

3. Apply gentle noise reduction

4. EQ + compression for clarity

5. Fix specific issues (hum, clicks)

6. Normalize and export

---

If you want, tell me what software you’re using (Audacity, Adobe Audition, Descript, etc.) and I can give you a step-by-step setup tailored to it.

Effectively remove podcast background noise by using AI tools like Adobe Podcast AI or ElevenLabs for instant cleaning. For manual editing, use Audacity's "Noise Reduction" effect by creating a noise profile from silent sections, or use iZotope RX for professional spectral repair. Prioritize using dynamic microphones and proper mic technique to minimize noise during recording.

Top Techniques for Audio Improvement

• AI Enhancement (Fastest): Adobe Podcast AI is highly effective for removing noise and echo, making recordings sound like they were done in a studio. It allows you to adjust the level of enhancement to avoid overly processed audio.
• Manual Noise Reduction (Audacity/DAW):
• Capture Noise Profile: Select a 5-10 second section containing only background noise (no speech) to "get noise profile".
• Apply Reduction: Apply the noise reduction effect to the entire track. Use moderate settings to avoid an "underwater" sound.
• Advanced Repair (iZotope RX): Utilize tools like Spectral De-noise for constant noises (hiss, fans) and De-click/De-clip for audio artifacts.
• Essential Post-Processing:
• Normalization: Set levels consistently.
• Compression: Smooth out volume differences between speakers.
• EQ: Remove low-end "rumble".

This video demonstrates how to use the noise reduction tool in Audacity:

59s

SaspodYouTube• Oct 16, 2025

Preventative Measures (Best Practices)

• Use Dynamic Mics: These are less sensitive to distant background noises than condenser microphones.
• Proximity Effect: Speak closer to the microphone to increase the signal-to-noise ratio.
• Acoustic Treatment: Use blankets, foam, or recording in a closet to reduce echo.

Improving podcast interview audio is mostly about combining good cleanup tools with careful, light processing. The goal is to reduce noise without making voices sound “watery” or artificial.

Here’s a practical workflow that works for most podcast setups:

---

1. Start with the cleanest possible source

Before editing, you’ll get the biggest improvement from recording quality:

• Use a dynamic microphone (it rejects room noise better than condenser mics)

• Record in a quiet, soft room (blankets, curtains, closets help)

• Keep mic close (6–8 inches) to increase voice vs. noise ratio

• Turn off fans/AC if possible

Even the best software can’t fully fix bad recordings—this step matters more than anything else.

---

2. Remove steady background noise first (hum, hiss, room tone)

This is your main cleanup step.

Best tools:

• iZotope RX (Voice De-noise / Spectral De-noise)

• Adobe Audition (Noise Reduction process)

• Free option: Audacity Noise Reduction

How it works (key technique):

• Find a section of “silence” (room noise only)

• Capture a noise print/profile

• Apply gentle reduction (not aggressive)

Important tip:

• Don’t overdo it—aim for ~3–8 dB reduction , not total removal
  (too much causes underwater/robotic voices)

izotope.com

---

3. Clean up intermittent noises (coughs, chair squeaks, clicks)

These need manual or spectral editing , not general noise reduction:

• Use spectral editing tools (RX is best here)

• Zoom in and remove or reduce specific noise events

• Tools like:

• De-click / De-crackle (mouth sounds, pops)

• Spectral Repair (short unwanted sounds)

This is where professional-sounding podcasts stand out.

---

4. Improve vocal clarity (make voices sound “forward”)

After noise cleanup:

Apply light processing:

• EQ

• High-pass filter around 70–100 Hz (removes rumble)

• Slight boost around 2–5 kHz (speech clarity)

• Compression

• Evens out volume differences between speakers

• Use moderate settings (don’t squash dynamics)

• De-esser

• Reduces harsh “S” sounds

---

5. Match volume between speakers

A very common podcast issue is uneven levels.

• Normalize or use loudness targeting:

• Aim around -16 LUFS (stereo podcasts) or -19 LUFS (mono)

Tools like Auphonic , Adobe Audition, or RX can automate this.

---

6. Add room tone (don’t leave “dead silence”)

After removing noise between sentences:

• Add a subtle layer of room tone

• Prevents unnatural cut-in/cut-out sound

---

7. Use AI tools for speed (optional but powerful)

If you want faster results:

• Adobe Podcast Enhance Speech (quick cleanup, but sometimes artificial)

• Auphonic (great for leveling + noise handling)

• iZotope RX Repair Assistant (semi-automatic workflow)

---

Common mistakes to avoid

• Overusing noise reduction → voice sounds underwater

• Cutting all background noise → unnatural silence

• Heavy EQ instead of proper noise removal

• Not matching loudness between speakers

---

Simple “best practice” workflow

If you want a clean repeatable process:

1. Noise reduction (light)

2. Spectral cleanup (manual fixes)

3. EQ

4. Compression

5. Level matching (LUFS)

6. Final listen on headphones + phone speaker

---

If you tell me what tools you’re using (Audacity, Adobe Audition, DaVinci Resolve, etc.), I can give you a more exact step-by-step tailored workflow.

Effectively removing background noise from podcast interviews involves capturing a "noise profile" in editing software (like Audacity's "Get Noise Profile") to apply noise reduction, or using AI tools like Adobe Podcast AI or 11 Labs voice isolator for instant cleaning. Prioritize using dynamic microphones and setting proper gain levels (peaking at -12 to -6 dB) to minimize noise during recording.

Best Practices for Background Noise Removal:

• AI Tools (Fastest & Most Effective): Utilize AI-powered tools such as Adobe Podcast AI or 11 Labs voice isolator to automatically isolate voices from noise, echo, and room reverberation.
• DAW Noise Reduction (Manual Precision):
• Audacity : Highlight a quiet section with only background noise, select "Get Noise Profile" in the Noise Reduction effect, then apply it to the entire track.
• Adobe Audition : Use the "Noise Reduction" effect to target constant noise like fan hiss or electric hum.
• iZotope RX10 : Use Spectral De-noise and Voice De-noise for targeted cleaning.
• Noise Gates : Apply a gate to completely mute the audio track during quiet moments when a speaker isn't talking, cutting out background sounds.
• EQ (High Pass Filter): Use a high-pass filter to remove low-frequency rumble (under 80-100 Hz), such as traffic or AC noise.

Improving Audio Quality During Recording:

• Use Dynamic Microphones: These mics, such as the Rode NT1 or Shure SM7B, are less sensitive to distant noise than condenser mics.
• Stay Close to the Mic: Keeping the mouth 2-4 inches from the microphone keeps the voice loud relative to the background noise, maximizing the signal-to-noise ratio.
• Treat the Room: Place blankets, curtains, or acoustic foam around the recording space to minimize echo and outside noise.
• Check Levels: Ensure gain levels do not peak above -6 dB to prevent clipping/distortion.

Common Pitfalls to Avoid:

• Over-processing: Too much noise reduction can make voices sound "underwater" or robotic.
• Recording in a Noisy Area: Even the best software cannot entirely fix heavy background noise without sacrificing voice quality.

To effectively remove background noise and improve podcast audio, use specialized software like iZotope RX (voice de-noise) or Adobe Podcast AI for automatic repair. Essential steps include capturing a "noise print" in Audacity or Adobe Audition to create a noise profile, applying a noise gate to mute silent sections, and using high-pass filters to remove low-frequency hums.

Key Techniques for Cleaner Audio:

• Preventative Recording: Record in a treated space, use a dynamic microphone, and set gains to peak between -12 and -6 dB to avoid clipping.
• Capture "Room Tone": Record 10-15 seconds of silence before starting the interview to capture the background noise profile.
• Use Noise Reduction (NR): In your DAW (e.g., Audacity), select the noise-only sample, select "Get Noise Profile," then apply "Noise Reduction" to the entire track, using light, multiple passes rather than one heavy pass to avoid robotic artifacts.
• Apply a Noise Gate: Use a noise gate to reduce noise by cutting out audio signals below a specific threshold during quiet, non-speaking moments.
• Use EQ and Compression: Apply a High Pass (Low Cut) filter around 80-100Hz to remove low-end rumble. Use a compressor to balance the vocal volume.

Recommended Tools:

• AI/Automated: Adobe Podcast AI (excellent for severe noise).
• Plugins: iZotope RX Voice De-noise (standard for dialogue).
• DAWs: Audacity (free, effective noise reduction tool), Adobe Audition.

This video shows how to use noise reduction in Audacity:

47s

iZotope, Inc.YouTube• Sep 28, 2022

For optimal results, ensure the noise reduction is applied early in the editing chain before heavy compression.

Cleaning up a podcast interview is a mix of smart recording habits and careful post-production. You can’t always fully remove background noise—but you can reduce it to the point where listeners barely notice it and your voices sound clear and professional.

Here’s a practical, effective workflow used by most podcasters:

---

🎧 1. Start with noise reduction (but don’t overdo it)

The core technique is noise profiling :

• Find 2–5 seconds of pure background noise (no speech) podrewind.com

• Use your editor’s noise reduction tool (e.g., Audacity, Adobe Audition)

• Apply moderate reduction (typically 6–12 dB) podrewind.com

👉 Key tip:
Heavy noise reduction creates “underwater” or metallic voices. It’s better to leave a little noise than ruin clarity. podrewind.com

---

🎚️ 2. Use a high-pass filter to remove rumble

Low-frequency noise (AC, traffic, mic handling) sits below your voice:

• Apply a high-pass filter around 80–100 Hz podcastvideos.com

• This instantly cleans up muddiness without affecting speech much

---

🎛️ 3. Fix specific problems separately

Different noise types need different tools:

• Hum (electrical buzz) → notch filter

• Clicks/pops → de-click tool or manual editing

• Sibilance (“S” sounds) → de-esser

• Echo/reverb → de-reverb (limited but useful)

A multi-step workflow (instead of one big fix) gives cleaner results. podrewind.com

---

🎤 4. Improve vocal clarity with EQ

After cleanup, shape the voice:

• Cut 80–120 Hz → removes rumble

• Slightly boost 3–5 kHz → adds clarity/presence stemsplit.io

• Reduce 200–400 Hz if it sounds “boxy” cuepodcasts.com

👉 Keep EQ subtle—small adjustments make a big difference.

---

🔊 5. Use compression for consistent volume

Interviews often have uneven levels between speakers:

• Ratio: ~2:1 to 4:1 cuepodcasts.com

• Smooths loud/quiet differences

• Makes the conversation easier to listen to everywhere

---

📏 6. Normalize loudness for a professional finish

• Target around −16 LUFS (stereo podcasts) cuepodcasts.com

• Ensures consistent volume across episodes and platforms

---

🧠 7. Work in multiple light passes

Instead of one aggressive edit:

• Do small adjustments in stages

• Listen after each step

This avoids artifacts and keeps voices natural. podrewind.com

---

🎙️ 8. Prevention beats fixing (huge impact)

The biggest quality boost happens before editing :

• Record in a quiet, soft-furnished room cuepodcasts.com

• Keep mic 6–12 inches from mouth cuepodcasts.com

• Record separate tracks for each speaker cuepodcasts.com

• Capture 30–60 seconds of room tone for noise profiling podrewind.com

---

🧰 Tools that work well

• Beginner: Audacity (free)

• Intermediate: Adobe Audition

• Advanced: iZotope RX (industry standard)

• AI tools: vocal isolation/cleanup tools can speed things up

---

⚡ Simple “go-to” workflow

If you want a quick repeatable chain:

1. Noise reduction (light)

2. High-pass filter

3. Remove hum/clicks

4. EQ (clarity tweaks)

5. Compression

6. De-esser

7. Loudness normalization

---

Bottom line

You’re aiming for clear, natural voices—not perfectly silent audio.
Listeners tolerate a bit of consistent background noise—but they immediately notice distorted or overprocessed voices.

---

If you tell me what software you’re using (Audacity, Premiere, GarageBand, etc.), I can give you exact step-by-step settings tailored to it.