SoundWatch: Exploring Smartwatch-based Deep Learning Approaches to Support Sound Awareness for Deaf and Hard of Hearing Users-Reference-Cited by-同舟云学术

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

Published:2020-10-26 Issue: Volume: Page:
ISSN:
Container-title:The 22nd International ACM SIGACCESS Conference on Computers and Accessibility
language:
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Author:

Jain Dhruv¹,Ngo Hung¹,Patel Pratyush¹,Goodman Steven²,Findlater Leah²,Froehlich Jon³

Affiliation:

1. Paul G. Allen School of Computer Science and Engineering University of Washington, United States

2. Human Centered Design and Engineering University of Washington, United States

3. Paul G. Allen School of Computer Science & Engineering University of Washington, United States

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3373625.3416991

Reference57 articles.

1. Sharath Adavanne Archontis Politis and Tuomas Virtanen. 2019. TAU Moving Sound Events 2019 - Ambisonic Anechoic Synthetic IR and Moving Source Dataset. Sharath Adavanne Archontis Politis and Tuomas Virtanen. 2019. TAU Moving Sound Events 2019 - Ambisonic Anechoic Synthetic IR and Moving Source Dataset.

2. homeSound: Real-Time Audio Event Detection Based on High Performance Computing for Behaviour and Surveillance Remote Monitoring

3. Reliable detection of audio events in highly noisy environments

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