One of the key features of this compressor is its support for a variety of loudness types. The compressor’s detection circuitry can be configured to use either
LUFS or traditional measurement units (RMS, Peak). You can also choose to split or link channels, which is particularly useful for multi-channel audio formats
such as Dolby Atmos®.
The compressor’s detection circuitry can be configured to use any of the following loudness types:
Momentary is a short duration LUFS measurement (400ms), which is useful for processing the audio’s moment-by-moment dynamics. This mode is responsive
but also transparent, making it an appropriate default for the compressor. K-weighting and channel weighting are applied to the compressor’s detection circuitry,
improving perceptual accuracy.
Short-Term is a longer duration LUFS measurement (3 seconds), which is useful for processing the audio’s large scale dynamics. Given the longer duration, this
mode is less responsive than momentary, but it can be useful for adjusting the bigger picture of the audio’s dynamics. K-weighting and channel weighting are applied
as with momentary.
RMS loudness types use a rolling time interval of 300ms. RMS is a traditional loudness measurement, which is a good first-order approximation of perceived loudness.
This mode doesn’t apply K-weighting or channel weighting to the compressor’s detection circuitry, giving it a more traditional character.
True Peak loudness types are similar to traditional peak measurements, but they are more accurate as they take into consideration inter-sample peaks. These measurements
use a time interval equal to the configured block size (1ms by default). This mode is extremely responsive, making it suitable for very fast attack and release times.
Peak loudness types are a standard peak circuit, operating on a time interval equal to the configured block size (1ms by default). This is another traditional compressor
style measurement. Technically, this mode is even slightly more responsive than True Peak, but it is less accurate as it doesn’t take into consideration inter-sample peaks.