Toward User-Driven Sound Recognizer Personalization with People Who Are d/Deaf or Hard of Hearing

@article{Goodman2021TowardUS,
  title={Toward User-Driven Sound Recognizer Personalization with People Who Are d/Deaf or Hard of Hearing},
  author={Steven M. Goodman and Ping Liu and Emma J. McDonnell and Jon E. Froehlich and Steven M. Goodman and Ping Liu and Dhruv Jain and Emma J. McDonnell and Jon E. Froehlich},
  journal={Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
  year={2021},
  volume={5},
  pages={1 - 23}
}
Automated sound recognition tools can be a useful complement to d/Deaf and hard of hearing (DHH) people's typical communication and environmental awareness strategies. Pre-trained sound recognition models, however, may not meet the diverse needs of individual DHH users. While approaches from human-centered machine learning can enable non-expert users to build their own automated systems, end-user ML solutions that augment human sensory abilities present a unique challenge for users who have… 

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