443results 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 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.

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.

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.

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.

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 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.

The present disclosure generally relates to user interfaces for hearing health. In some embodiments, a computer system prompts a user to initiate a hearing test. In some embodiments, different types of audio are modified using different audio characteristics. In some embodiments, a visual indication of a current level of environmental noise is displayed. In some embodiments, the computer system detects a user input indicating the faintest volume at which a user can hear test audio.

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 present invention discloses a speech enhancement method that combines hearing loss compensation and speech noise reduction, comprising: extending and embedding a hearing loss map along the frequency axis to obtain a hearing loss spectrum, and superimposing the hearing loss spectrum with the complex spectrum features of the noisy training speech; constructing a metric generative adversarial network model based on frequency-time convolution recursion, the model's main structure comprising a compensation generator and a metric discriminator; alternately training the compensation generator and the metric discriminator to optimize the metric generative adversarial network model; superimposing the complex spectrum features of the test speech with the hearing loss spectrum and inputting them into the trained compensation generator, and reconstructing an enhanced speech waveform of the test speech based on the output of the compensation generator. The present invention uses a metric generative adversarial network to simultaneously achieve noise reduction and hearing loss compensation for a specific audiogram, capable of stably and effectively improving the effectiveness of hearing loss compensation in noisy environments. The method is ingenious and novel, with promising application prospects.

A hearing device with an adjustable vent is disclosed. The device includes at least one microphone configured to provide an input signal representing sound, a processor configured to process the input signal and provide a processed signal, at least one loudspeaker configured to receive the processed signal from the processor and to provide an acoustic signal based on the processed signal to the ear of a user, an earpiece comprising a vent, and an electrically controllable valve configured to control the vent, and a valve control unit configured to receive one or more control signals in dependence of a current hearing situation of the hearing device, wherein the valve control unit is configured to adjust the electrically controllable valve in dependence of the one or more control signals to provide the vent to be in a state between an acoustically more open and an acoustically less open state.

An illustrative system includes a stimulation device configured to apply stimulation to a recipient, a sensing device configured to detect a physiological condition of the recipient, and a processing unit communicatively coupled to the stimulation device and the sensing device. The processing unit determines a stimulation strategy that is customized to the recipient and includes stimulation frames and stimulation gaps. The processing unit then directs the stimulation device to apply the stimulation to the recipient in accordance with the stimulation strategy by applying the stimulation only during time that corresponds to the stimulation frames. The processing unit also directs the sensing device to detect the physiological condition of the recipient in accordance with the stimulation strategy by detecting only during time that corresponds to the stimulation gaps. Based on the detected physiological condition, the processing unit performs an action. Corresponding systems, methods, and apparatuses are also disclosed. The stimulation device is a cochlear implant with an electrode lead having an array of electrodes to apply the stimulation.

Presented herein are techniques to maintain a balanced loudness across stimulation channels when the volume of a hearing device is adjusted. The volume control techniques provided herein may be used to set an overall balanced map loudness and / or to replace existing volume controls in a stand-alone approach.

The invention relates to a method for operating a hearing device (2), comprising: a receiving unit (4) for receiving speech information and converting the speech information into a speech signal (S); a signal processing unit (12) for signal processing of the speech signal and generating an output signal (A); and an output unit (18) for outputting the output signal to a user of the hearing device, in which the voice information is converted into a voice signal, in which the voice signal is processed by the signal processing unit into the output signal in order to output the output signal to the user of the hearing device, at least one emotion-related feature (F1,..., F18, F1 ',..., F18') is determined from the speech signal and the output signal in each case, the emotion-related features determined from the speech signal and the output signal are compared to each other and a comparison result is determined, and wherein the signal processing unit (12) is set depending on the comparison result.

An audio system for reproducing amplified output audio signals by at least one loudspeaker of the audio system. The audio system has a signal processing unit for actuating the loudspeaker, including a digital signal processor and at least one digital / analog converter and at least one amplifier. The signal processing unit is connected / connectable to a data source for providing input audio signals to be amplified, or the data source is integrated into the signal processing unit. The audio system has a reproduction mode and a hearing test mode and additionally a data storage device for storing a result of the at least one, frequency-dependent listening test carried out with the audio system. The loudspeaker is a multi-path loudspeaker having at least two mutually different frequency band speakers for reproducing the amplified output audio signal, with the at least two mutually different frequency band speakers each having distinct useful frequency bands.

A method for determining an acoustic mass of an earpiece to be plugged into an ear of a user comprises: receiving user data comprising at least an audiogram of the user; and inputting the user data into a machine learning algorithm and determining the acoustic mass by the machine learning algorithm.

An auditory enhancement method, an auditory enhancement system, a readable storage medium, and a computer device are provided. The auditory enhancement method includes extracting frequency points in initial audio data and fusing each of the frequency points with a test short-time audio having different intensities to obtain test audio data; creating an auditory test environment for a user, playing the test audio data to the user in the auditory test environment, and collecting test results fed back by the user; obtaining identity information of the user, and inputting the identity information and the test results into an auditory test mathematical model to obtain auditory compensation values corresponding to the frequency points in the test audio data; and generating auditory gain values corresponding to the auditory compensation values according to the auditory compensation values, and enabling the user to enhance auditory sensitivity according to the auditory gain values.

The invention relates to a method for creating an audiogram of a test person by means of a hearing instrument (1), in which a sound signal (22) is received by a first electro-acoustic input transducer (10) of the hearing instrument (1) in an ear canal (4) of the test person, which ear canal is at least partially closed by the hearing instrument (1), and a first input signal (24) is generated therefrom, a test sound (32) is generated by an electro-acoustic output transducer (18) of the hearing instrument (1) and is output into an ear canal (4) of the test person, which ear canal is at least partially closed by the hearing instrument (1), and wherein the hearing threshold of the test person at the at least one test frequency is determined on the basis of a reaction of the test person to the test sound (32) and by means of the first input signal (24).

Disclosed herein is a method for determining a characteristic of a hearing instrument, the hearing instrument including at least one input transducer operable to provide an input audio signal responsive to sensing sound in the environment of the hearing instrument, a signal processing unit and at least one output transducer, the method comprising: emitting an acoustic probe signal by the output transducer, receiving an input audio signal from the microphone, analyzing the received input audio signal to determine the characteristic of the hearing instrument from an input transducer response to the emitted acoustic probe signal, wherein the method further comprises filtering the received input audio signal to selectively attenuate one or more signal components corresponding to the acoustic probe signal and wherein emitting the acoustic probe signal comprises emitting a combined acoustic output signal comprising the acoustic probe signal and an acoustic hearing instrument signal obtained from the filtered input audio signal.