The Complete Guide to AI Voice Mastering for YouTube and Podcasts
Vois TeamTLDR:Voice mastering is a four-stage chain: LUFS normalization for consistent loudness, de-essing at 7kHz to tame sibilance, parametric EQ for presence, and limiting at -1.0 dB to prevent clipping. Target -14 LUFS for YouTube/Spotify, -16 for Apple Podcasts, -18 to -23 for ACX.
Frequently Asked Questions
What is LUFS and why does it matter for voice content?
LUFS (Loudness Units relative to Full Scale) measures perceived loudness as humans experience it, not just peak volume. Streaming platforms normalize audio to specific LUFS targets. Mastering to the correct target means your audio plays back exactly as intended without platform-side adjustments.
What LUFS should I target for YouTube?
YouTube normalizes to -14 LUFS. Master your voice content to -14 LUFS with true peaks below -1.0 dB for optimal playback. Export as MP3 at 320kbps or AAC.
What does a de-esser do for voice audio?
A de-esser reduces harsh sibilant sounds (S, SH, CH) that concentrate around 5-8kHz. It's a frequency-targeted compressor that only activates when sibilance occurs, smoothing harshness without affecting the rest of the voice.
Do I need to master AI-generated voice audio?
Yes. Raw AI audio has inconsistent loudness, untamed sibilance, and no peak protection. Mastering brings it to broadcast-ready quality with consistent levels, controlled dynamics, and platform-appropriate loudness.
Written by
Vois Team
Product Team
The team behind Vois, building the future of AI voice production.
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