ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users-Reference-Cited by-同舟云学术

ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users

Published:2022-04-29 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Jain Dhruv¹,Huynh Anh Nguyen Khoa²,M. Goodman Steven³,Grossman-Kahn Rachel³,Ngo Hung²,Kusupati Aditya²,Du Ruofei⁴,Olwal Alex⁵,Findlater Leah³,E. Froehlich Jon⁶

Affiliation:

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

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

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

4. Google, United States

5. Google Inc., United States

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

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491102.3502020

Reference81 articles.

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

4. Sanghamitra Bandyopadhyay and Sriparna Saha . 2012. Unsupervised classification: similarity measures, classical and metaheuristic approaches, and applications . Springer Science & Business Media . Sanghamitra Bandyopadhyay and Sriparna Saha. 2012. Unsupervised classification: similarity measures, classical and metaheuristic approaches, and applications. Springer Science & Business Media.

5. Danielle Bragg , Nicholas Huynh , and Richard E. Ladner . 2016. A Personalizable Mobile Sound Detector App Design for Deaf and Hard-of-Hearing Users . In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility, 3–13 . Danielle Bragg, Nicholas Huynh, and Richard E. Ladner. 2016. A Personalizable Mobile Sound Detector App Design for Deaf and Hard-of-Hearing Users. In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility, 3–13.

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