Hearing aid personalization using machine leaning
US12225354B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 17, 2023 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Nov 5, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04R2225/41
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Training data are obtained. Each training datum includes environment characteristics obtained based on sensor data. Respective user settings corresponding to the training data are obtained. At least one respective user setting corresponds to one training datum, and a respective user setting is indicative of a user preference of at least one parameter of a hearing aid device. A machine-learning model for the hearing aid device is trained to output values for the at least one parameter. The hearing aid device is reconfigured based on an output of the machine-learning model. Reconfiguring the hearing aid device includes using current environment characteristics as an input to the machine-learning model to obtain at least one current value for the at least one parameter and configuring the hearing aid device to use at least one current value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.