Inside open-plan offices, background noise affects the workers' comfort, influencing their
productivity. Recent approaches identify three main source categories: mechanical sources
(air conditioning equipment, office devices, etc.), outdoor traffic noise, and human sources
(speech). Whereas the first two groups are taken into account by technical specifications,
human noise is still often neglected. The present paper proposes two procedures, based on
machine-learning techniques, to identify the human and mechanical noise sources during …