Are synthesised indoor noise signals using the sound reduction index of the façade sufficient to predict the annoyance of outdoor noise?

Several studies have demonstrated the high level of annoyance caused by traffic noise to persons indoors. However, predicting how annoyed the resident are, is a quite complex and time-consuming task, especially if the scope includes the annoyance of different types of traffic noise through different facade elements. Ideally one would ask the residents within their homes how annoyed they are by the current traffic noise situation. But how do you ensure the residents are confronted with many different sources with different spectra. Common practice is to record the traffic noise indoors over a long period of time, cut the recordings into smaller segments, and play them back to the subject in a listening room or via headphones. This way the same signals can be presented to a larger set of subjects. These measurements would then need to be repeated at different locations. Therefore, the goal of this study is to investigate if indoor noise signals that are "filtered" using the sound reduction index of the façade give the same annoyance results as the actual recorded indoor noise signals. Thereby, making it only necessary to capture outdoor noise signals and simulating the transmission through a variety of different "artificial" facades.