The presentation is entitled "IndivHear: An Individualized Adaptive Deep Learning-based Hearing Aid."

Abstract: Prior to coming to Purdue, motivated by his grandmother’s experience with hearing loss and hearing aids, Sarthak developed an inexpensive smartphone-based individualized adaptive hearing aid using deep learning. For patients with mild hearing loss, hearing aids have limited user benefits due to the low accessibility of professional help, limitations in fitting and diagnostic procedures of hearing devices, and the tedious process of setting up hearing aids. For patients with moderate to profound hearing loss, hearing support is inadequate due to limitations in the individualized fitting and diagnostic procedures of hearing aids, inadequacies in the functional capabilities of existing hearing aids, and limited human-machine interfaces to steer the device based on the patient’s individual needs. In an attempt to solve these problems, Sarthak created an end-to-end solution that utilizes a novel data collection approach to train individualized deep learning networks as hearing aids. Additionally, he also developed fully automated and remote versions of traditional fitting and diagnostic procedures like Pure Tone Audiometry and Speech Audiometry.

Zoom link for remote attendees: https://purdue-edu.zoom.us/j/4326340458  Meeting ID: 432 634 0458

The working SHRP schedule is available on the T32 TPAN website here: https://purdue.edu/TPAN/hearing/shrp_schedule

The titles and abstracts of the talks will be added here: https://purdue.edu/TPAN/hearing/shrp_abstracts