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Master the essential audio post-production techniques—normalization, compression, EQ, and noise reduction—using the correct processing order to achieve professional-quality audio. Use when: Editing podcast episodes or video soundtracks; Cleaning up recorded voiceovers; Improving audio quality for marketing content; Preparing audio files for distribution; Troubleshooting common audio issues
npx skill4agent add guia-matthieu/clawfu-skills audio-editingMaster the essential audio post-production techniques—normalization, compression, EQ, and noise reduction—using the correct processing order to achieve professional-quality audio.
| Claude Does | You Decide |
|---|---|
| Structures production workflow | Final creative direction |
| Suggests technical approaches | Equipment and tool choices |
| Creates templates and checklists | Quality standards |
| Identifies best practices | Brand/voice decisions |
| Generates script outlines | Final script approval |
My audio has [describe problem: too quiet, noisy background, inconsistent levels, muddy sound].
Help me fix it using proper processing order.Help me prepare this audio for [podcast/YouTube/Spotify/broadcast].
Current state: [describe audio]Create an audio editing workflow for [content type].
Include settings for [software: Audacity/Audition/etc.]## Correct Processing Order
1. GAIN STAGING
↓
2. NOISE REDUCTION
↓
3. COMPRESSION
↓
4. EQUALIZATION
↓
5. FINAL NORMALIZATION / LIMITING
Why this order:
- Noise reduction BEFORE compression: Prevents amplifying noise
- Compression BEFORE EQ: Prevents EQ changes affecting dynamics
- Limiting LAST: Sets final ceiling after all processing## Gain Staging Guidelines
**Recording (target during capture)**:
- Peaks at -12 to -6 dB
- Leaves headroom for processing
**Initial Normalization (start of editing)**:
- Normalize peaks to -6 dB
- Creates consistent starting point
**Two Types of Normalization**:
1. **Peak Normalization**
- Adjusts based on loudest point
- Use for: Initial gain staging
- Does NOT change dynamic range
2. **RMS/Loudness Normalization**
- Adjusts based on average level
- Use for: Final delivery
- Better for perceived loudness matching| Software | Normalize Function |
|---|---|
| Audacity | Effect → Normalize |
| Audition | Effects → Amplitude → Normalize |
| Logic Pro | Region → Normalize |
## Noise Reduction Approach
**When to use**:
- Consistent background hiss/hum
- Air conditioning, computer fan noise
- Not for variable noise (traffic, voices)
**Method 1: Spectral Noise Reduction**
1. Find 2-3 seconds of "silence" (noise only)
2. Use as noise profile
3. Apply reduction to full track
4. Use conservative settings
**Settings Guide** (Audacity example):
- Noise Reduction: 6-12 dB (start low)
- Sensitivity: 4-6 (higher = more aggressive)
- Frequency Smoothing: 3-6 bands
**Method 2: Noise Gate**
- Sets threshold; audio below is silenced
- Better for breaths between speech
- Doesn't affect audio during speech
**Warning Signs of Over-Processing**:
- "Underwater" or "robotic" sound
- Swirling artifacts
- Unnatural silence between words
**Rule**: If choosing between slight noise or artifacts, keep the noise.## Compression for Voice
**What It Does**:
- Reduces volume of sounds above threshold
- Results in more consistent, fuller sound
**Key Parameters**:
| Parameter | What It Does | Voice Setting |
|-----------|--------------|---------------|
| Threshold | Level where compression starts | -20 to -12 dB |
| Ratio | How much to reduce | 2:1 to 4:1 |
| Attack | How fast compression kicks in | 10-30 ms |
| Release | How fast compression stops | 100-300 ms |
| Makeup Gain | Boosts output after compression | To taste |
**Voice Compression Starting Point**:
- Threshold: -18 dB
- Ratio: 3:1
- Attack: 15 ms (fast enough for transients)
- Release: 150 ms
- Gain: +3-6 dB (compensate for reduction)
**Multi-Band Compression** (advanced):
- Different settings for different frequency ranges
- Useful for controlling low-end rumble without affecting highs
- Overkill for most marketing audio
**When NOT to Compress**:
- Already consistent audio (well-recorded)
- Music meant to be dynamic
- Over-compression sounds "squashed"## EQ for Voice
**Philosophy**: Cut more than boost. Removing problems is safer than adding "goodness."
**Voice Frequency Guide**:
| Range | Frequency | Effect |
|-------|-----------|--------|
| Rumble | Below 80 Hz | Cut (high-pass filter) |
| Muddiness | 200-400 Hz | Cut if boomy |
| Body/Warmth | 150-250 Hz | Boost slightly for thin voice |
| Boxy/Nasal | 400-800 Hz | Cut if honky |
| Clarity/Presence | 2-4 kHz | Boost for intelligibility |
| Sibilance | 5-8 kHz | Cut if harsh "s" sounds |
| Air/Brightness | 8-12 kHz | Boost for expensive studio feel |
**Standard Voice EQ Recipe**:
1. High-pass filter at 80 Hz (removes rumble)
2. Cut 2-3 dB around 300 Hz (reduces muddiness)
3. Boost 2-3 dB around 3 kHz (adds clarity)
4. High-shelf boost at 10 kHz if needed (adds air)
**De-essing**:
- Tames harsh "s" and "sh" sounds
- Target: 5-8 kHz range
- Use de-esser plugin OR narrow EQ cut## Loudness Standards by Platform
| Platform | Target | Measurement |
|----------|--------|-------------|
| Podcast (general) | -16 LUFS | Integrated loudness |
| Spotify/Apple Podcasts | -14 LUFS | May normalize further |
| YouTube | -14 LUFS | Recommended |
| Broadcast TV (US) | -24 LKFS | FCC regulation |
| ACX/Audiobooks | -23 to -18 dB RMS | Per chapter |
**Final Steps**:
1. **Loudness Normalization**
- Match to platform standard (e.g., -16 LUFS)
- Use loudness meter, not peak meter
2. **Limiting**
- Prevents clipping
- Set ceiling at -1 dB (leaves headroom for encoding)
- Catches peaks that exceed ceiling
3. **Export Settings**
- Podcast: 128-192 kbps MP3, stereo
- Video: Match video project settings
- Audiobook: 192 kbps MP3, 44.1 kHz, monoMy podcast guest recorded on their laptop mic. There's a consistent low hum and the levels are all over the place—sometimes quiet, sometimes too loud. How do I fix this?
I produce three types of content: YouTube videos, podcast episodes, and Loom videos for sales. Can you give me processing templates for each?
## Pre-Processing
□ Imported audio to project
□ Listened through once for problems
□ Noted specific issues (noise, pops, volume spikes)
□ Backed up original file
## Processing (in order)
□ 1. Gain staging: peaks at -6 dB
□ 2. Noise reduction applied (if needed)
□ - Used clean noise sample
□ - Checked for artifacts
□ 3. Compression applied
□ - Threshold set appropriately
□ - Gain reduction 3-6 dB typical
□ 4. EQ applied
□ - High-pass engaged
□ - Problem frequencies cut
□ 5. Final limiting
□ - Ceiling at -1 dB (or per platform)
## Quality Check
□ A/B comparison with bypass
□ Listened on headphones
□ Listened on different speakers
□ No artifacts or processing sounds
□ Loudness matches target spec## Quick Reference: Delivery Specs
PODCASTS
- Loudness: -16 LUFS
- Format: 128-192 kbps MP3
- Channels: Mono or Stereo
YOUTUBE
- Loudness: -14 LUFS
- Format: Match video settings
- Note: Will be normalized by platform
AUDIOBOOKS (ACX)
- RMS: -23 to -18 dB
- Peak: -3 dB max
- Noise floor: -60 dB
- Format: 192 kbps MP3, 44.1 kHz, mono
BROADCAST (US)
- Loudness: -24 LKFS
- True peak: -2 dB
- Note: FCC regulated
MUSIC STREAMING
- Loudness: -14 LUFS (Spotify reference)
- Platforms normalize, but masters are loudername: audio-editing
category: audio
subcategory: editing
version: 1.0
author: MKTG Skills
source_expert: iZotope, Industry Best Practices
source_work: Audio Engineering Standards
difficulty: beginner
estimated_value: $50-200 per hour (equivalent engineering time)
tags: [audio, editing, eq, compression, normalization, post-production]
created: 2026-01-26
updated: 2026-01-26