A Personalizable Mobile Sound Detector App Design for Deaf and Hard-of-Hearing Users
Danielle Bragg, Nicholas Huynh, Richard E. Ladner · 2016 · Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '16)
This paper presents the design and evaluation of a personalizable mobile phone app that detects sounds of interest to deaf and hard-of-hearing (DHH) users by learning from training examples recorded by the user themselves. Unlike existing commercial sound detection products —…
deaf and hard of hearing · mobile accessibility · machine learning · sound detection · personalization