US 12,225,354 B2
Hearing aid personalization using machine leaning
Shaghayegh Zihajehzadeh, Coquitlam (CA); Gabrielle Toupin, Vancouver (CA); Artem Galeev, Vancouver (CA); Yan Vule, Port Moody (CA); and Kongqiao Wang, Anhui (CN)
Assigned to Anhui Huami Health Technology Co., Ltd., Anhui (CN)
Filed by Anhui Huami Health Technology Co., Ltd., Anhui (CN)
Filed on Feb. 17, 2023, as Appl. No. 18/171,023.
Prior Publication US 2024/0284126 A1, Aug. 22, 2024
Int. Cl. H04R 25/00 (2006.01)
CPC H04R 25/505 (2013.01) [H04R 2225/39 (2013.01); H04R 2225/41 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining training data, wherein each training datum comprises environment characteristics obtained based on sensor data;
obtaining respective user settings corresponding to the training data,
wherein at least one respective user setting corresponds to one training datum, and
wherein a respective user setting is indicative of a user preference of at least one parameter of a hearing aid device;
training a machine-learning model for the hearing aid device to output values for the at least one parameter; and
reconfiguring the hearing aid device based on an output of the machine-learning model, wherein reconfiguring the hearing aid device comprises:
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.