| Summary: | Smart tools for audio production have been making its way into modern audio production and is getting more popular in studio and postproduction work. In live sound however, there is few alternatives that exist. In this study live sound engineers experienced in live music sound reinforcement were interviewed about how they use gain and what considerations they make when adjusting gain. The aim of this study was to use their answers to create the foundation of a framework to an algorithm that can adjust gain automatically. The interviews were semi-structured, and the transcriptions were analysed using grounded theory. From the transcripts five categories were created and further divided into subcategories for deeper analysis. The study showed that the data in the study could not easily be proceduralized but instead two alternative ways of implementing this in practice, one that monitors the input signals and passes the information to the engineer. And another that adds a control layer to the monitoring where the parameter can be selected based on mixing strategy and the algorithms control can be switched on or off.
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