Predicting gain margin in a hearing device using a neural network
US12389173B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2023 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Jan 26, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04R2430/01
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A hearing device includes a microphone that produces an audio input signal and a loudspeaker that outputs an amplified audio signal into an ear canal. A signal processing path is coupled to the microphone and the loudspeaker. The signal processing path includes a deep neural network configured to predict an instantaneous gain margin of the hearing device based on a set of inputs. The set of inputs includes a first parameter of the audio input signal, a second parameter of the amplified audio signal, and a gain of the signal processing path. A feedback reduction module of the device receives the predicted instantaneous gain margin and adjusts feedback reduction parameters to reduce an onset of feedback in the hearing device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.