Published on in Vol 23, No 10 (2021): October
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/25460, first published
.

Journals
- Healy E, Johnson E, Pandey A, Wang D. Progress made in the efficacy and viability of deep-learning-based noise reduction. The Journal of the Acoustical Society of America 2023;153(5):2751 View
- Han J, Wang C, Li J, Lai Y. Ambulatory Phonation Monitoring Using Wireless Headphones With Deep Learning Technology. IEEE Systems Journal 2023;17(3):4752 View
- Chang Y, Han J, Chu W, Li L, Lai Y. Enhancing music recognition using deep learning-powered source separation technology for cochlear implant users. The Journal of the Acoustical Society of America 2024;155(3):1694 View
- Essaid B, Kheddar H, Batel N, Chowdhury M, Lakas A. Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives. IEEE Access 2024;12:119015 View
- Frosolini A, Franz L, Caragli V, Genovese E, de Filippis C, Marioni G. Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions. Sensors 2024;24(22):7126 View
Conference Proceedings
- Han J, Li J, Yang C, Chen F, Liao W, Liao Y, Lai Y. 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Leveraging Deep Learning to Enhance Optical Microphone System Performance with Unknown Speakers for Cochlear Implants View