2026-09-20T07:40:24Zhttps://digital.lib.washington.edu/server/oai/request

oai:digital.lib.washington.edu:1773/493122026-02-16T02:07:10Zcom_1773_4888col_1773_4909

Froehlich, Jon Findlater, Leah Jain, Dhruv 2022-09-23T20:44:27Z 2022-09-23T20:44:27Z 2022-09-23 2022 Jain_washington_0250E_24833.pdf http://hdl.handle.net/1773/49312 Thesis (Ph.D.)--University of Washington, 2022 Sound awareness can have wide ranging impact for people who are deaf or hard of hearing (DHH) from being informed of safety critical sounds such as fire alarms and sirens to more mundane but useful cues such as microwave beeps or door knocks. The current solutions used by DHH people—such as flashing doorbells or vibratory alarm clocks—only substitute for some specific sounds, but do not provide a general awareness about environmental sounds. In this dissertation, I report on several iterative studies aimed at: understanding sound awareness needs and preferences of DHH people, designing systems to enhance sound and speech awareness in multiple contexts, and evaluating these systems in both controlled environments and in the field. I close with outlining the future grand challenges in the emerging field of sound accessibility. application/pdf en_US CC BY Accessibility Applied Machine Learning Deaf and Hard of Hearing Human-Computer Interaction Sound Accessibility Computer science Computer engineering Computer science and engineering Sound Sensing and Feedback Techniques for Deaf and Hard of Hearing People Thesis Open Access open.access