Modeling audience noise during speech and musical performances
* Präsentierender Autor
Zusammenfassung:The sounds caused by the audience account for a large part of the background sound field in a concert. However, little is known about its spectral composition, room acoustic influences, or even mood-dependent changes. Therefore, we first analyzed audience sounds from eight recordings in five different rooms with regard to its spectral distribution and temporal development. A statistical prediction model was computed to assess the influence of technical background noise, room acoustics, and audience mood. Moreover, statistical analyses revealed a significant association between the audience sound level and the technical background noise on the one side and the number of spectators on the other. Also, two characteristic curves for the A-weighted broadband audience sound level over time were determined. To further investigate the influence of the audience’s mood on the overall sound level, a self-assessment during one concert and a listening test were carried out. As a result, a terminology underlying three factors was developed to describe the perceived atmosphere (e.g., eventfulness, exuberance) and the acoustical properties of audience sounds. The findings can be used for further research on audience sound synthesis and offer valuable insights for room acoustic planning where the predictions regarding audience sound levels are needed.