591results about "Deaf aid adaptation" patented technology

A system may include a storage device, configured to store computer-executable instructions. A system may include an ear-bud configured to be positioned within an ear canal of a user, the ear-bud comprising: a speaker, a microphone; and one or more processors in communication with the storage device, wherein the computer-executable instructions, when executed by the one or more processors, cause the one or more processors to: obtain a user hearing profile, obtain an equal-loudness hearing profile, receive audio data from the microphone, and generate a second audio data based on a first sound-pressure level, a second sound-pressure level, a first frequency; and cause the speaker to emit the second audio data within the ear canal of the user, such that the user perceives the audio data as if the user has normal hearing.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The disclosure generally relates to a method, system and apparatus for processing audio through a neural network contained in a hearing device. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

A hearing aid including a multitude M≥2 microphones adapted for providing M electric input signals (x) representative of an environment of a user, at least one beamformer for generating at least one beamformed signal in dependence of beamformer weights (w) configured to be applied to said electric input signals, thereby providing said at least one beamformed signal (Y) as a weighted sum of the M of electric input signals. The beamformer weights (w) are adaptively optimized to a plurality of target positions (θ) by maximizing a target signal to noise ratio (SNR) for sound from the target positions (θ). The signal to noise ratio may be determined in a number of different ways, e.g. in dependence of first and second output variances (|YT2, |YV|2) of said beamformer, when said electric input signals (x) or said beamformed signal (Y) are / is labelled as target (T) and noise (V), respectively.

A fitting apparatus for a hearing device includes a memory, the memory having stored thereon a plurality of embedding vectors and related solutions for possible hearing issues with a hearing or computing device. The fitting apparatus is configured to:receive, via a user interface, a first signal indicative of a natural language input indicative of an issue experienced by a user;determine an embedding based on the natural language input;generate, based on the embedding, a first embedding vector;determine a closest match between the first embedding vector and an embedding vector of the plurality of embedding vectors; andsend, to the user interface, a second signal indicative of a reply output, the reply output comprising information related to a solution of the related solutions for the issue experienced by the user.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The embodiment of the invention discloses a hearing loss compensation method based on hearing aid equipment and a terminal, which are used for simplifying a hearing loss test process and improving the accuracy of hearing loss compensation. The hearing loss compensation method based on the hearing aid device is executed by a terminal, communication connection is established between the terminal and the hearing aid device to be fitted, and the method comprises the following steps: performing a hearing loss test on a hearing aid object to obtain a hearing loss test result; performing hearing loss compensation according to the hearing loss test result to obtain hearing loss compensation gain; the hearing loss compensation gain is sent to the hearing aid device, and the hearing aid device is used for conducting hearing loss compensation on a first voice signal according to the hearing loss compensation gain to obtain a second voice signal.

A digital assistance for assisting a wearer of a hearing device to correctly arrange the hearing device with respect to an ear of the wearer, includes: a control configured to enable a preview of a first image to be displayed, wherein the first image is generated by a camera; wherein the control is also configured to enable a capturing of the first image, the first image showing at least the ear of the wearer with the hearing device arranged in and / or at the ear of the wearer; and wherein the digital assistance also comprises a comparator configured to perform a comparison between (1) the first image showing the at least the ear of the wearer with the hearing device and (2) a reference image.

A self-check is initiated via an audio processor circuit of the hearing device. In response to the self-check, a transfer function of a feedback path is measured between a receiver of the hearing device to at least one microphone of the hearing device. An anomaly is determined in the transfer function via comparison with example feedback path characterization data. An abnormality associated with the hearing device is predicted based on the anomaly. An indication of the abnormality is presented via a user interface of the hearing device.

The invention relates to a method and to a device (30) for setting signal processing of a plurality of hearing systems (2), each hearing system (2) having at least one hearing device (4) which can be parameterized by a plurality of signal processing parameters (pi). An initial setting (Pin) of a signal processing parameter (pi) is performed in each of a plurality of hearing systems (2) in a test group (42) consisting of the plurality of hearing systems (2), and a final setting (Pend) of the signal processing parameter (pi) is obtained by one or more changes of the parameter setting. Vectors (D) in a parameter space covered by the signal processing parameter (pi) are determined as a function of a difference between a final setting (Pend) and an initial setting (Pin) of the signal processing parameter (pi), each vector (D) being provided with language information characterizing a particular language. The change vectors are assigned to the same language or a language group containing the language according to the language information to which the change vectors belong, and the centers of gravity of the change vectors (D) in the parameter space are determined as change centers of gravity (lt; dgt; ). In the subsequent setting of one of the hearing systems (2) in the test group (42) or a further hearing system (2), the change center of gravity (lt; dgt; ).

Aspects include a hearing aid with a control module configured to detect connection with distinct driver modules. The hearing aid is configured to adjust one or more settings in response to detecting connection with one of the driver modules.

Presented herein are a system and a method comprising obtaining one or more electrophysiological measures of acoustic hearing associated with a hearing device recipient, obtaining one or more hearing performance measures of the recipient, analyzing the one or more electrophysiological measures with respect to the one or more hearing performance measure, and generating an output based on the analyzing the one or more electrophysiological measures with respect to the one or more hearing performance measures.

A method comprising: generating and accessing images of a head of a user; extracting an ear morphology from the images; matching the user to a hearing aid type based on the ear morphology; accessing a virtual representation of the hearing aid type; generating a head model depicting the hearing aid positioned accurately on an ear of the user; following provision of a hearing aid of the hearing aid type to the user, loading a representation of a sound profile onto the hearing aid; generating a placement instruction for the hearing aid; accessing image data depicting the hearing aid located on the ear of the user; detecting a position of the hearing aid in the image data; and in response to the position of the hearing aid differing from a fitment definition of the hearing aid type: prompting the user to adjust placement of the hearing aid on the ear of the user.

Disclosed herein, among other things, are systems and methods for wireless communication with hearing devices. A method includes configuring, using a first hearing device configured to be worn or implanted in a first ear of a user, a first device parameter data. The method further includes transmitting, from the first hearing device via a wireless connection to a second hearing device configured to be worn or implanted in a second ear of the user, the first device parameter data. The method also includes receiving, at the second hearing device via the wireless connection, the first device parameter data from the first hearing device, and configuring the second hearing device for coordinated binaural operations with the first hearing device using the first device parameter data.

A method for fitting a hearing instrument comprises generating training data based on post-fitting adjustments made to settings of a plurality of hearing instruments 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 instruments. 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.

Various embodiments of a hearing device and a system including such device are disclosed. The device includes an enclosure having a front housing and a rear housing. The enclosure further includes an isolator disposed between the front housing and the rear housing. The isolator includes a body, a first sleeve disposed at the first end of the body, and a second sleeve disposed at the second end of the body. A second end of the front housing is connected to the first sleeve of the isolator and a second end of the rear housing is connected to the second sleeve of the isolator. The hearing device further includes a first sensor disposed in the front housing, a second sensor disposed in the rear housing, and a receiver disposed at least partially within the body of the isolator.

An illustrative hearing system may be configured to receive, from an input transducer included in a hearing device configured to be worn by a user, audio data representative of one or more audio signals presented to the user and acquire motion data representative of head movements of the user while the user wears the hearing device and / or own-voice data representative of an own-voice activity of the user. The hearing system may be further configured to determine, based the motion data and / or own-voice data, a listening state of the user with respect to the one or more audio signals and perform, based on the listening state, an operation associated with the hearing device.

The disclosure relates to a method of adjusting a configuration of a hearing device configured to be worn at an ear of a user to the individual needs of the user, wherein the hearing device (110, 210) is communicatively coupled to a communication device (150, 410, 510), the method comprising - initiating querying of a user command to be entered by the user via a user interface (157, 428) included in the communication device (150, 410, 510), the user command indicative of an adjustment desired by the user of at least one configuration parameter indicative of a current configuration of the hearing device (110, 210); and - adjusting, depending on the user command, the configuration parameter. The disclosure further relates to a hearing system configured to perform the method. To provide for a user-friendlier adjustability of a current configuration of the hearing device, the disclosure proposes that the method further comprises - receiving image information (711) representative of a facial expression (621, 622) of the user; and - initiating presenting, depending on the facial expression (621, 622), an input support (613, 662, 671, 672) to the user facilitating inputting of the user command.

Training data are obtained. Each training datum includes environment characteristics obtained based on sensor data. Respective user settings corresponding to the training data are obtained. At least one respective user setting corresponds to one training datum, and a respective user setting is indicative of a user preference of at least one parameter of a hearing aid device. A machine-learning model for the hearing aid device is trained to output values for the at least one parameter. The hearing aid device is reconfigured based on an output of the machine-learning model. Reconfiguring the hearing aid device includes 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.

A hearing system comprises a hearing device configured to be worn by a wearer, the hearing device comprising one or more microphones, an acoustic transducer, audio circuitry coupled to the one or more microphones and the acoustic transducer, and a controller coupled to the audio circuitry. The controller is configured to detect a wearer interaction with the hearing device, determine a context of the wearer's use of the hearing device, obtain user data for groups of a population of hearing device users based on user interaction with, and context of use of, the users' hearing devices, determine an operational change to the hearing device based on the wearer interaction, the context, and the user data that corresponds to the wearer's interaction and context, and apply the operational change to the hearing device.

Disclosed are system and methods for automated fitting of a hearing aid, through an automated hearing test based upon which a suitable set of hearing aid parameters is determined.

Vagal nerve stimulation devices and methods are provided herein. A device comprises one or more electrodes having a contact surface for contacting an outer skin surface of a patient and an energy source coupled to the electrodes. The energy source generates one or more electrical impulses and transmits the electrical impulses to the electrodes and transcutaneously through the outer skin surface of the patient at or near a vagus nerve. The one or more electrical pulses comprise bursts of 2 to 20 pulses within each burst with each burst having a frequency of about 5 Hz to about 100 Hz.

An earpiece is configured for providing audiometric testing. The earpiece includes an earpiece housing, an intelligent control system disposed within the earpiece housing, at least one transducer operatively connected to the intelligent control, and at least one speaker operatively connected to the intelligent control. The earpiece is configured to perform audiometric testing of a user by reproducing sounds at the at least one transducer and receiving user feedback regarding the sounds to provide audiometric test data.

The hearing system (2) is in particular a binaural hearing system (2) designed to generate monaural or binaural beats and for this purpose comprises at least one hearing aid (4A, 4B) with a main signal path (8). The hearing aid (4A, 4B) further comprises a secondary signal path (26) with a signal generator (28) for generating a first beat signal (B1), wherein the first beat signal (B1) is frequency-shifted by one beat frequency relative to a further signal (B2), such that the effect of the monaural or binaural beat is generated for the user during operation. The signal generator (28) is configured such that the first beat signal (B1) has at least one signal component, referred to as an ambient signal (SU), at least in certain operating modes of the hearing aid (4A, 4B), which is generated on the basis of the electrical input signal (E1) and thus on the basis of the ambient noise.Preferably, the beat signal (B1, B2) is composed of different signal components, the weighting (G) of which is preferably set depending on a signal level of the input signal.

The invention discloses a reinforcement learning hearing aid adaptation method in combination with a hearing loss speech evaluation model, and aims to design an optimal hearing aid adaptation gain matched with a listening environment based on the common listening environment of a hearing-impaired person and improve the hearing aid use effect of the hearing-impaired person. An audiogram of a subject is obtained through a hearing measurement tool, the gain configuration of the hearing aid is optimized by using a reinforcement learning algorithm, and finally a personalized gain adjustment scheme is provided for the subject. The method is based on a reinforcement learning algorithm iteration strategy network, the hearing aid gain is automatically adjusted, and it is ensured that optimal hearing experience is provided under different sound pressure levels and noise environments. By means of the hearing loss speech model, the gain adjustment effect can be evaluated in real time, and the speech perception effect is optimized. Compared with a traditional method, the method has the advantages that the common acoustic environment requirements of a patient can be accurately matched, the adaptation precision and effect are improved, and higher adaptability and wide clinical application prospects are achieved.

Presented herein are techniques for dynamically generating test materials for implementing speech test to, for example, hearing aid users or users of cochlear implants. Dynamic word list generation techniques are disclosed. Such techniques generate word lists with qualities intended to implement specific speech tests. For example, the disclosed techniques may be used to generate word lists with predetermined phonetic balance and / or perceptual balance. The disclosed techniques also provide for the generation of audio signals associated with the word lists used during the speech tests.

A feedback cancellation function is operable to cancel feedback through a receiver of the hearing device. An audible indicator to a user of the hearing device is emitted via the receiver. The audible indicator has a primary purpose unrelated to characterization of the feedback cancellation function. A response of the audible indicator is detected at a microphone of the hearing device while the hearing device is being worn by the user. Subsequent feedback path characterization data of the hearing device is determined based on the response. The feedback cancellation function uses the subsequent feedback path characterization data.