Deliver Personalized Hearing Improvement (PHI 𝚽) products to acclerate for discoveries related to hearing loss, mobility and cognitive disorders.
with sensors to support EEG and Behind-the-Ear Receivers-in-the-Canal (BTE-RICs) (Thing 1)
and an Edge node with sound processing, machine learning, apps, and cloud connectivity (Thing 2).
NIH R44-DC020406L: An Open-source Speech Processing Platform (OSP) for Research on Hearing Loss and Related Disorders Funding.
NIH R33-DC015046: Self-fitting of Amplification: Methodology and Candidacy
NIH R01-DC015436: A Real-time, Open, Portable, Extensible Speech Lab
NSF IIS-1838830: Division of Information & Intelligent Systems, “A Framework for Optimizing Hearing Aids In Situ Based on Patient Feedback, Auditory Context, and Audiologist Input”
Wrethinking Foundation: https://wrethinking.org/
The Qualcomm Institute