Adjust volume using volume normalization or gain compensation


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Adjust volume using volume normalization or gain compensation

Loudness

Gain compensation and automatic source normalization can be used to adjust the volume of individual audio sources. These volume controls, unlike other Wwise volume control functions, are transparent in terms of all logical operations related to volume. For example, it does not affect the decision to make a voice below the threshold (virtual voice) and is not considered in the evaluation of the HDR attenuation. It also does not appear in Voice Monitor.

Loudness

The sum of the gains for each source is displayed in the Wwise Profiler, Voices tab, in the Normalization / Compensation Gain column.

Font normalization
Loudness data collected during the analysis phase of your original file can be leveraged in Wwise to automatically normalize assets at runtime based on the expected loudness. Loudness value calculation is recommended by ITU-R BS.1770 for loudness measurement applying K-weighting filter, -70 dB absolute gate, -10 dB relative gate, 400 ms window and 75% overlap. Almost compatible.

The source normalization process is non-destructive and the loudness values ​​obtained from sound analysis are stored separately in Wwise and the appropriate normalization gain is applied at runtime. This gain is calculated based on the loudness value and is “gain = – loudness – 23 [dB]”. For example, if the loudness value of the sound analysis is -37dB, enabling source normalization will cause Wwise to apply a normalization gain of “+ 14dB (+ 37-23)” at runtime. Also, if the loudness value by sound analysis is -12dB, the normalization gain is “-11dB (+ 12-23)”. That is, small sounds are amplified and loud sounds are attenuated. If you are not satisfied with the normalization gain calculated based on the loudness value, you can make fine adjustments using the compensation gain.


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Author: R. Arias

R. Arias is the author of this article and has extensive experience for more than 30 years as a recording engineer and audio specialist, as well as more than 20 years of experience creating algorithms related to audio and video. Linkedin