Abstract: Disclosed herein are systems and methods for audio synchronization for hearing devices. An audio packet is received from a host device at a first hearing device configured to be worn in a first ear of a wearer, the audio packet compatible with a wireless low energy digital communication protocol, and the audio packet is received from the host device at a second hearing device configured to be worn in a second ear of the wearer. Upon one or more programmable conditions, a synchronization packet is sent from the first hearing device to the second hearing device. An acknowledgment packet is sent from the second hearing device to the first hearing device upon receipt of the synchronization packet, and a first transducer at the first hearing device and a second transducer at the second hearing device are unmuted to deliver synchronized audio to the first ear and to the second ear.

Abstract: A hearing device includes an enclosure comprising a shell and a faceplate and is configured for at least partial insertion within an ear of a user. An antenna structure of the hearing device is oriented such that a direction of an electric field (E-field) of a propagating electromagnetic signal generated by the antenna structure is directed non-tangentially with respect to the user at the location of the user's ear. The antenna structure includes an antenna disposed in or on the faceplate and a ground plane at least partially supported by the faceplate. A battery and electronic circuitry are disposed within the shell. The electronic circuitry is powered by the battery and is electrically coupled to send and/or receive signals via the antenna structure.

Abstract: A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

Abstract: Systems and methods may be used to determine a fit for a hearing assistance device shell model. For example, a method may include receiving an image of anatomy of a patient including at least a portion of a canal aperture of an ear of the patient, generating a patient model of a portion of the anatomy of the patient, the patient model indicating at least one of a height or width of the canal aperture, and determining, using the patient model, a best fit model from a set of hearing assistance device shell models generated using a machine learning technique. The method may include outputting an identification of the best fit model.

Abstract: A hearing aid assembly includes a receiver speaker enclosed within a receiver housing. The receiver housing defines a circuitous receiver acoustic channel, wherein the receiver channel defines an open side along at least a portion of the receiver channel. The receiver channel also defines a pass-through passage extending from a first side of the receiver housing to a second side of the receiver housing, wherein the pass-through passage is partially defined by the wall defining a receiver opening. The hearing aid assembly also includes an earbud configured to fit over at least a portion of the receiver housing and partially cover the open side of the receiver channel.

Abstract: Disclosed herein are systems and methods for eardrum acoustic pressure estimation for hearing device applications. A receiver signal is produced through a receiver of a hearing device, or a physical extension of the receiver, placed inside an ear canal of a user. A microphone signal is sensed, in response to the receiver signal, using a microphone placed outside the ear canal. Based on the receiver signal and the microphone signal, a reliability signal of the microphone signal and a feedback-path signal are computed. A spectral representation signal of the feedback-path signal is computed, and a real-ear response signal is computed using a mathematical combination of the spectral-representation signal and the reliability signal. The computed real-ear response signal is used to modify an operational characteristic of the hearing device, or to make a recommendation for modification of an operational characteristic or a physical characteristic of the hearing device.

Abstract: Embodiments herein relate to hearing assistance systems and methods for use with assistive listening device systems. In a first aspect, a hearing assistance system is included having an ear-worn device can include a control circuit, a sensor package in signal communication with the control circuit, a power supply circuit in electrical communication with the control circuit, and a spatial locator circuit in communication with the ear-worn device. The spatial locator circuit can detect a current spatial location. The system can compare the current spatial location against entries in a database of spatial locations that offer assistive listening device services. The system can send a notification to the ear-worn device and/or ear-worn device wearer if the current spatial location is found in the database of spatial locations that offer assistive listening device services. Other embodiments are also included herein.

Abstract: Disclosed herein, among other things, are methods and apparatus for providing a time-stamp based controller for synchronization of sink or source sampling rate with external packet rate. A method for wireless communications includes receiving a transmission of a packet using a wireless transceiver of an electronic device, and using a processor of the electronic device to read a first value of a system timer and store the first value as an arrival time-stamp. The packet is decoded and processed by the processor, and sent to an output. When the processed packet is sent, a second value of the system timer is read, adjusted and stored as a departure time-stamp. The arrival time-stamp and the departure time-stamp are used to calculate an adjustment stimulus for a sample rate actuator of the electronic device. The sample rate actuator is configured to maintain synchronization of sampling rate with an external packet rate.

Abstract: An ear-worn electronic hearing device comprises an enclosure configured to be supported by, at, in or on an ear of the wearer. Electronic circuitry is disposed in the enclosure and comprises a wireless transceiver. An antenna is disposed in or on the enclosure and operably coupled to the wireless transceiver. The antenna has a physical size and comprises a plurality of cutouts disposed along a periphery of the antenna. The cutouts are configured to increase an electrical length of the antenna without an increase in the physical size of the antenna. The antenna can comprise at least one interior window having a window periphery. A plurality of window cutouts are disposed along the window periphery. The window cutouts are configured to increase a path length of current distribution along the window periphery.

Abstract: A computing device is described that obtains a representation of a target ear canal of a user. Using a machine-learned model that has been trained based at least in part on representations of previously fabricated ear-wearable devices, the computing device generates a representation of an ear-wearable device for the target ear canal.

Abstract: An ear-worn electronic device comprises a housing configured to be supported by, at, in or on an ear of a wearer. Electronic circuitry is disposed in the housing and comprises a processor. A power source and a receiver or a speaker are respectively disposed in or on the housing. A microphone array is disposed in or on the housing and operatively coupled to the electronic circuitry. The microphone array comprises a plurality of microphones. The processor is configured to operate a set of two or more of the microphones in a directional mode, detect degradation in performance of any microphone of the microphone set, and switch microphone operation from the directional mode to a safe mode using at least one non-degraded microphone of the microphone set in response to detecting the microphone performance degradation.

Abstract: Secondary path measurements and associated acoustic transducer-to-eardrum responses are obtained from test subjects. Both a least squares estimate and a reduced dimensionality estimate are determined that both estimate a relative transfer function between the secondary path measurements and the associated acoustic transducer-to-eardrum responses. An individual secondary path measurement for a user is performed based on a test signal transmitted via a hearing device into an ear canal of the user. An individual cutoff frequency for the individual secondary path measurement is determined. First and second acoustic transducer-to-eardrum responses below and above the cutoff frequency are determined using the individual secondary path measurement and the least squares estimate. A sound pressure level at an eardrum of the user can be predicted using the first and second receiver-to-eardrum responses.

Abstract: A system and method of automatic transcription using a visual display device and an ear-wearable device. The system is configured to process an input audio signal at the display device to identify a first voice signal and a second voice signal from the input audio signal. A representation of the first voice signal and the second voice signal can be displayed on the display device and input can be received comprising the user selecting one of the first voice signal and the second voice signal as a selected voice signal. The system is configured to convert the selected voice signal to text data and display a transcript on the display device. The system can further generate an output signal sound at the first transducer of the ear-wearable device based on the input audio signal.

Abstract: A system comprises an ear-worn electronic device configured to be worn by a wearer. The ear-worn electronic device comprises a processor and memory coupled to the processor. The memory is configured to store an annoying sound dictionary representative of a plurality of annoying sounds pre-identified by the wearer. A microphone is coupled to the processor and configured to monitor an acoustic environment of the wearer. A speaker or a receiver is coupled to the processor. The processor is configured to identify different background noises present in the acoustic environment, determine which of the background noises correspond to one or more of the plurality of annoying sounds, and attenuate the one or more annoying sounds in an output signal provided to the speaker or receiver.

Abstract: An ear-worn electronic monitoring system includes an on-ear component comprising a housing configured for placement on, in or about the wearer's ear. The on-ear component comprises a power source and a first interface coupled to the power source. The monitoring system also includes an in-ear component comprising a housing configured for deployment at least partially within an ear canal of the wearer. The in-ear component comprises a second interface configured to couple to and decouple from the first interface, a controller coupled to a memory, one or more physiologic sensors coupled to the controller and memory, and power management circuitry coupled to the controller. The power management circuitry comprises a wireless power receiver configured to receive power from a wireless powering arrangement. The power management circuitry is further configured to receive power from the power source of the on-ear component when the second interface is coupled to the first interface.

Abstract: Embodiments herein relate to a local assistant system responding to voice input using an ear-wearable device. The system detects a wake-up signal and receives a first voice input communicating a first query content. The system includes speech recognition circuitry to determine the first query content, speech generation circuitry, and an input database of locally-handled user inputs. If the first audio input matches one of the locally-handled user inputs, then the system takes a local responsive action. If the first audio input does not match one of the locally-handled user inputs, then the system transmits at least a portion of the first query content over a wireless network to a network resource.

Abstract: A hearing device may include an earpiece, and ear-tip suspension element disposed in the earpiece, a solenoid actuator, and a controller. The earpiece and the ear-tip suspension element may include passageways that connect to form a vent through the earpiece. The solenoid actuator may include a solenoid and a core. The core may be movable between an open position and a closed position to open and close the vent. The controller may include one or more processors and may be operably coupled to the solenoid actuator to control movement of the core between the open and closed position. The controller may be configured to move the core using the solenoid based on at least a listening environment of the hearing device.

Abstract: Disclosed herein, among other things, are methods and apparatus for own-voice sensing in hearing assistance devices. One aspect of the present subject matter includes an in-the-ear (ITE) hearing assistance device adapted to process sounds, including sounds from a wearer's mouth. According to various embodiments, the device includes a hollow plastic housing adapted to be worn in the ear of the wearer and a differential sensor mounted to an interior surface of the housing in an ear canal of the wearer. The differential sensor includes inlets located within the housing and the differential sensor is configured to improve speech intelligibility of sounds from the wearer's mouth, in various embodiments.

Abstract: A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

Abstract: Embodiments herein relate to assistive listening devices and systems for providing audio streams to device wearers within sound fields. In an embodiment an assistive listening device is included having a control circuit, an electroacoustic transducer for generating sound in electrical communication with the control circuit, a power supply circuit in electrical communication with the control circuit, and a communications circuit in electrical communication with the control circuit. The control circuit can be configured to issue a communication to an audio communication device or audio provisioning device including at least one of a language preference, a set of hearing requirements, data regarding a presentation delay, and an authorization status identifier, digital code, digital token, or digital key specific to a wearer of the assistive listening device. Other embodiments are also included herein.