Abstract:
A method for fitting a hearing instrument comprises generating training data based on post-fitting adjustments made to settings of a plurality of hearing instalments and based on profiles of users of the plurality- of hearing instruments, wherein the post-fitting adjustments are made to the settings of the plurality of hearing instruments after initial uses of the plurality of hearing instalments. The method further comprises training a machine learning (ML) model based on the training data to generate initial fitting suggestions. The method also comprises, prior to an initial use of a current hearing instrument by a current user, generating an initial fitting suggestion for the hearing instrument of the current user by applying the ML model to input that includes a profile of the current user.
Abstract:
A hearing system includes a pair of first and second hearing devices wirelessly coupled to a remote device that includes a microphone. One or more gains can each be calculated as a function of a first microphone signal received from the first hearing device, a second microphone signal received from the second hearing device, and a remote microphone signal received from the remote device. The function can be designed to improve speech intelligibility in a noisy environment. The one or more gains are applied to the first and second microphone signals to produce output sounds by the first and second hearing devices.