AdaptiveSound: An Interactive Feedback-Loop System to Improve Sound Recognition for Deaf and Hard of Hearing Users

Author:

Do Hang1ORCID,Dang Quan1ORCID,Huang Jeremy Zhengqi2ORCID,Jain Dhruv3ORCID

Affiliation:

1. Computer Science and Engineering, University of Washington, United States

2. University of Michigan, United States

3. Computer Science and Engineering, University of Michigan, United States

Publisher

ACM

Reference49 articles.

1. Adavanne S. Politis A. and Virtanen T. 2019. TAU Moving Sound Events 2019 - Ambisonic Anechoic Synthetic IR and Moving Source Dataset [Data set]. Zenodo. Adavanne S. Politis A. and Virtanen T. 2019. TAU Moving Sound Events 2019 - Ambisonic Anechoic Synthetic IR and Moving Source Dataset [Data set]. Zenodo.

2. AudioSet Label Accuracy: https://research.google.com/audioset/dataset/index.html. Accessed: 2021-04-06. AudioSet Label Accuracy: https://research.google.com/audioset/dataset/index.html. Accessed: 2021-04-06.

3. BBC Sound Effects: http://bbcsfx.acropolis.org.uk/. Accessed: 2019-09-18. BBC Sound Effects: http://bbcsfx.acropolis.org.uk/. Accessed: 2019-09-18.

4. Bragg , D. , Huynh , N. and Ladner , R.E . 2016. A Personalizable Mobile Sound Detector App Design for Deaf and Hard-of-Hearing Users . Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility ( New York, New York, USA , 2016 ), 3–13. Bragg, D., Huynh, N. and Ladner, R.E. 2016. A Personalizable Mobile Sound Detector App Design for Deaf and Hard-of-Hearing Users. Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility (New York, New York, USA, 2016), 3–13.

5. Cavender A. and Ladner R.E. 2008. Hearing impairments. Web accessibility. Springer. 25–35. Cavender A. and Ladner R.E. 2008. Hearing impairments. Web accessibility. Springer. 25–35.

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1. A Human-AI Collaborative Approach for Designing Sound Awareness Systems;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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