Speaker
Description
Measurement of sound levels at music venues and events is important, and sometimes mandated, to protect audience members’ hearing, limit annoyance to neighbours, and ensure compliance with regulatory requirements and/or best-practice guidelines. However, ongoing logging of sound levels generates a vast amount of data that varies greatly by format depending on the equipment and methods used. This makes it difficult to extract relevant insights, particularly across different datasets. To address this issue, we propose DB-SPL (“Database for Sound Pressure Levels”), which consists of i) a common data model designed to standardise the organisation of sound level data; and ii) a standardised vocabulary of relevant key terms pertaining to sound level measurement and monitoring. Our goal is to provide a common framework for storing, describing, and analysing sound level data from music venues and events, facilitating improved data sharing and data re-use for research.