Professional podcast narration
- Input
- Gravação em estúdio home
- Expected output
- Pico -3 dBFS, RMS -18 dBFS, LUFS ~-16
Typical values before dynamic compression.
what is LUFS audio normalization
Audio volume can be measured in three main ways: peak (the maximum instantaneous amplitude value), RMS (the quadratic mean representing perceived power), and LUFS (integrated loudness weighted by human perception, per ITU-R BS.1770). Each measure serves a different purpose in the production chain.
Typical values before dynamic compression.
Spotify normalizes automatically to -14 LUFS; deliveries above are not amplified.
Broadcast is the only common target that is a contractual requirement, not a platform recommendation.
Peak normalization increases or reduces the overall gain of an audio file so that the maximum peak amplitude reaches a defined target level, usually -1 dBFS to avoid clipping on playback systems. It is the simplest and most direct normalization method.
It is not an estimate: it is the full ITU-R BS.1770-4 algorithm, with a weighting filter, 400 ms blocks at 75% overlap, and the two gating stages (absolute at -70 LUFS, relative 10 LU below the mean). Peak is also measured as a true inter-sample peak, in dBTP, not as an isolated sample peak. What the tool is not is a homologated meter for broadcast delivery, where the contractual requirement is a certified analyser.
No. RMS is a pure quadratic mean of amplitude, with no perceptual filter and no silence discarding. LUFS applies a filter that weights frequencies the way the ear does and discards silence and sections far below the mean before integrating, so two tracks with identical RMS can end up with quite different LUFS.
LUFS, if the destination is a streaming platform or broadcast, because that is what it uses to decide playback gain. True peak in dBTP comes right after, as a safety ceiling against clipping during signal reconstruction. RMS is useful internally, to compare tracks within the same project, but no platform normalizes by it.
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