Signal processing/Dynamics processors (Q910)
From CompetenceBase
Revision as of 10:01, 26 July 2024 by JoernNettingsmeier (talk | contribs) (Changed claim: Property:P66: Dynamics processors are among the few time-variant operations in traditional sound engineering. As such, setting them up correctly and effectively poses unique challenges: each decision must be validated to work with all playing (or speaking) styles likely to be encountered, to prevent detrimental effects on musical or dramatic expression. The ability to handle and master time-variant tools will become increasingly important with the introduction...)
Dynamics processors are among the few non-time-invariant operations in sound. As such, setting them up correctly and effectively poses unique challenges, and each decision must be validated to work with all playing (or speaking) styles...
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Signal processing/Dynamics processors | Dynamics processors are among the few non-time-invariant operations in sound. As such, setting them up correctly and effectively poses unique challenges, and each decision must be validated to work with all playing (or speaking) styles... |
Statements
27
0 references
20
0 references
working principle and parameters of dynamics processors (English)
0 references
working principle and utility of a side chain (English)
0 references
working principle and parameters of a de-esser (English)
0 references
working principle and parameters of a dynamic EQ (English)
0 references
relevance of of EQ, dynamics, and effects ordering (English)
0 references
Dynamics processors are among the few time-variant operations in traditional sound engineering. As such, setting them up correctly and effectively poses unique challenges: each decision must be validated to work with all playing (or speaking) styles likely to be encountered, to prevent detrimental effects on musical or dramatic expression. The ability to handle and master time-variant tools will become increasingly important with the introduction of more adaptive or even deep-learning based processing. (English)
0 references