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Human perception of surrounding events is strongly dependent on audio cues.Thus, acoustic insulation can seriously impact situational awareness. Wepresent an exploratory study in the domain of assistive computing, elicitingrequirements and presenting solutions to problems found in the development ofan environmental sound recognition system, which aims to assist deaf and hardof hearing people in the perception of sounds. To take advantage of smartphonescomputational ubiquity, we propose a system that executes all processing on thedevice itself, from audio features extraction to recognition and visualpresentation of results. Our application also presents the confidence level ofthe classification to the user. A test of the system conducted with deaf usersprovided important and inspiring feedback from participants.

Mobile Sound Recognition for the Deaf and Hard of Hearing