SoundWatch: Exploring Smartwatch-based Deep Learning Approaches to Support Sound Awareness for Deaf and Hard of Hearing Users

Hung Ngo
Hung Ngo
Pratyush Patel
Pratyush Patel
Steven Goodman
Steven Goodman

ASSETS '20: The 22nd International ACM SIGACCESS Conference on Computers and Accessibility Virtual Event Greece October, 2020, pp. 1-13, 2020.

Cited by: 0|Bibtex|Views224|DOI:https://doi.org/10.1145/3373625.3416991
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Smartwatches have the potential to provide glanceable, always-available sound feedback to people who are deaf or hard of hearing. In this paper, we present a performance evaluation of four low-resource deep learning sound classification models: MobileNet, Inception, ResNet-lite, and VGG-lite across four device architectures: watch-only, w...More

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