Exploratorium_8.1.1
Uses of AI
- to Enhance/Adapt Output

Annotated Bibliography

COPY currently shown bibliography

Jin, Y., Gao, Y., Guo, X., Wen, J., Li, Z., & Jin, Z. (2022, June). EarHealth: an earphone-based acoustic otoscope for detection of multiple ear diseases in daily life. In Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services (pp. 397-408). [cited Sep 28]. Available from: https://dl.acm.org/doi/10.1145/3498361.3538935

  • A multi-institutional team of researchers led by the University at Buffalo has created a method of using earbuds to diagnose ear infections and other ear ailments. The EarHealth system pairs Bluetooth earbuds with a smartphone that’s equipped with a deep learning platform. EarHealth works by sending a chirp through the earbuds of a healthy user. It records how the chirp reverberates throughout the ear canals, creating a profile of each user’s unique inner ear geometry. (ACM Newsletter, UB Article)

Google makes massive commitment to support more languages using AI https://www.zdnet.com/article/google-makes-massive-commitment-to-support-more-languages-using-ai/

  • The 1,000 Languages Initiative by Google is a commitment to build an AI model that supports the 1,000 most-spoken languages across the globe to make information more accessible. Google has added 24 more languages to its Google Translate platform and enabled voice typing for nine more African languages on Gboard. It is also working with local governments, NGOs and academic institutions in South Asia to collect audio samples of different dialects throughout the region.

Meta's latest AI model will make content available in hundreds of languages https://www.zdnet.com/article/metas-latest-ai-model-will-make-content-available-in-hundreds-of-languages/

  • The social media giant is open-sourcing a new AI model called No Language Left Behind, which can translate across 200 languages, including 55 African languages.

Poor, G. M., Leventhal, L. M., Kelley, S., Ringenberg, J., & Jaffee, S. D. (2011, October). Thought cubes: exploring the use of an inexpensive brain-computer interface on a mental rotation task. In The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility (pp. 291-292).

https://doi.org/10.1145/2049536.2049612

  • Study of the use of the Emotiv EPOC headset to relay information to a computer without the use of a mouse/keyboard or other physical interaction device.

AI-Mimi is building inclusive TV experiences for deaf and hard-of-hearing users in Japan. https://blogs.microsoft.com/accessibility/ai-mimi-is-building-inclusive-tv-experiences-for-deaf-and-hard-of-hearing-user-in-japan/ 

  • To meet the needs of the hearing-impaired community in Japan, a company worked with Microsoft to create an AI that works with live broadcasting. It provides accurate subtitles of roughly 10 lines at a time as opposed to the two-line subtitles generally seen.

Uloza, V., Maskeliunas, R., Pribuisis, K., Vaitkus, S., Kulikajevas, A., & Damasevicius, R. (2022). An Artificial Intelligence-Based Algorithm for the Assessment of Substitution Voicing. Applied Sciences, 12(19), 9748. https://doi.org/10.3390/app12199748

  • Scientists from the Faculty of Informatics at Kaunas University of Technology (KTU IF) and the Lithuanian University of Health Sciences (LSMU) in Lithuania have developed a novel alternative method to assess the quality of patients' voices. This innovative evaluation index enables faster and more efficient detection of voice disorders, including conditions like vocal cord growths, spasms, inflammation, and paralysis.

Lin, H.-Y. H., Lai, H.-S., Huang, C.-Y., Chen, C.-H., Wu, S.-L., Chu, Y.-C., et al. (2022). Smartphone-bundled earphones as personal sound amplification products in adults with sensorineural hearing loss. iScience, 25(12), 105436. https://www.cell.com/iscience/fulltext/S2589-0042(22)01708-4


  • This paper explores the use of smartphone-bundled earphones as a potential solution for individuals with sensorineural hearing loss. The study investigates the efficacy of these earphones in providing sound amplification for adults with hearing loss. The researchers examine the feasibility and effectiveness of using smartphone-bundled earphones as personal sound amplification devices and discuss their potential benefits for individuals with sensorineural hearing loss.