Abstract:
In an audio signal, one or more processing circuits recognize spoken content in a user's own speech signal using speech recognition and natural language understanding. The spoken content describes a listening difficulty of the user. The one or more processing circuits generate, based on the spoken content, one or more actions for hearing devices and feedback for the user. The one or more actions attempt to resolve the listening difficulty. Additionally, the one or more processing circuits convert the user feedback to verbal feedback using speech synthesis and transmit the one or more actions and the verbal feedback to the hearing devices via a body-worn device. The hearing devices are configured to perform the one or more actions and play back the verbal feedback to the user.
Abstract:
Embodiments herein relate to systems, devices and methods for the treatment of equilibrium disorders and improving gait and balance. In an embodiment, a method of treating an equilibrium disorder is included. The method can include monitoring device wearer movement with a movement sensor, identifying a movement pattern consistent with an equilibrium disorder, estimating characteristics of the equilibrium disorder, and applying stimulation to at least one of the right ear, left ear, or brainstem of the device wearer of an ear-worn device. Other embodiments are also included herein.
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 set of one or more processing circuits obtains eye movement-related eardrum oscillation (EMREO)-related measurements from one or more EMREO sensors of a hearing instrument. The EMREO sensors are located in an ear canal of a user of the hearing instrument and are configured to detect environmental signals of EMREOs of an eardrum of the user of the hearing instrument. The one or more processing circuits may perform an action based on the EMREO-related measurements.
Abstract:
A method comprises determining, based on signals from sensors of hearing instruments, current values of context parameters; determining, based on the current values of the context parameters, that a current context of the hearing instruments has changed or is likely to change from a first to a second context of a plurality of contexts, wherein each of the contexts corresponds to a different unique combination of potential values of the context parameters; updating statistics of the contexts, wherein for each of the contexts, the statistics of the context include statistics with respect to time the hearing instruments spent in the context; and based on the determination that the current context of the hearing instruments has changed or is likely to change from the first context to the second context, initiating, based on the statistics of at least one of the first or second contexts, one or more actions.
Abstract:
Disclosed herein, among other things, are apparatus and methods for annoyance perception and modeling for hearing-impaired listeners. One aspect of the present subject matter includes a method for improving noise cancellation for a wearer of a hearing assistance device having an adaptive filter. In various embodiments, the method includes calculating an annoyance measure or other perceptual measure based on a residual signal in an ear of the wearer, the wearer's hearing loss, and the wearer's preference. A spectral weighting function is estimated based on a ratio of the annoyance measure or other perceptual measure and spectral energy. The spectral weighting function is incorporated into a cost function for an update of the adaptive filter. The method includes minimizing the annoyance or other perceptual measure based cost function to achieve perceptually motivated adaptive noise cancellation, in various embodiments.