311results 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.

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.

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.

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.

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.

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.

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 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.

According to the passenger hearing aid system for the urban rail transit provided by the invention, for hearing impaired groups, the information acquisition efficiency is soaring up by 80% through the multi-mode perception fusion and personalized voice enhancement technology, and the trouble of mistaken riding and missing riding caused by unclear broadcast in the past is thoroughly avoided; by means of precise optimization of broadcast content and a playing strategy through an intelligent analysis system, the passenger inquiry rate is remarkably reduced by 40%, the burden of workers is greatly relieved, and meanwhile the utilization rate of rail transit facilities is increased; the system actively responds to the sustainable development goal of'inclusive traffic 'of the united country, and provides a solid technical guarantee for the disabled, the old and other special groups to equally enjoy the traffic service.

Described embodiments generally relate to a method of assessing the hearing of a subject. The method comprises presenting a first aural stimulus to the subject; presenting a second aural stimulus to the subject, the second aural stimulus being different to the first aural stimulus; receiving at least one physiological response signal relating to the second aural stimulus received by the subject; comparing at least one parameter related to the at least one physiological response signal with a control parameter; and determining an auditory discrimination response of the subject based on the outcome of the comparison.

A novel system and method for identifying and establishing personalized audio parameter settings for a person with hearing loss and / or certain listening preferences, without requiring a traditional audiogram or hearing test as a starting point. Instead, two new elements are combined: (1) A group of original sample profiles, and (2) An original tuning flow methodology and algorithm. The tuning flow methodology and algorithm includes a decision-tree conditional logic and structured series of questions that leverage a) the group of sample profiles, and b) new approaches to user interface interaction.

The invention relates to a method for fitting a hearing device (2), wherein the hearing device (2) has at least one input transducer (6) for receiving an acoustic signal and converting it into an input signal (8) and a signal processing device (10) for signal amplification of the input signal (8) and generation of an output signal (12) and an output transducer (14) for converting the output signal (12) into a sound signal, wherein at least one test measurement (20, 24) is carried out in which a test signal is generated as an acoustic signal, and in which the hearing device user assesses the resulting sound signal as a test result (22, 26, 28), a fitting formula (32) being determined on the basis of the test result (22, 26, 28), and the signal processing device (10) being set on the basis of the fitting formula (32) in such a way that if, during operation of the hearing device (2), a rise time of a signal start of the input signal (8) is less than or equal to a stored threshold value, then the signal start of the output signal (12) is amplified by a higher gain value than the remaining output signal (12).

The invention relates to the technical field of hearing aid equipment, in particular to an intelligent hearing aid system and method, and the system comprises (1) a voice cloning and voiceprint recognition module which is used for collecting a user voice sample, generating a personalized voice model, and distinguishing different users through voiceprint recognition; (2) an STT module which is integrated in a hearing aid application program of the intelligent device and is used for converting environment voice into characters in real time; (3) the TTS module is used for synthesizing a voice signal based on the text content generated by the STT module, and supporting on-line generation of personalized voice by combining voice cloning and off-line use of a local engine; (4) a user interaction module which provides an intelligent device application interface and is used for volume adjustment, voice mode selection and multi-user management; the intelligent hearing aid system and the intelligent hearing aid method have the functions of multi-user adaptation capability, personalized voice output, high-precision voice recognition and seamless offline.

An apparatus can include a first ear simulator coupler configured to receive a first hearing device within a first aperture, with an acoustic microphone provided below the first aperture to capture first audio input data associated with the first ear simulator coupler. A second ear simulator coupler can comprise a second aperture configured to receive a contact hearing device ear tip, the second ear simulator coupler including a receive coil configured to obtain a second audio input data corresponding to a transmitted signal from the contact hearing device ear tip when inserted within the second ear simulator coupler. The apparatus can include an audio output port can be connected by a switch to a selected one of a first audio processing path corresponding to a simulated hearing experience of the first hearing device, or a second audio processing path corresponding to a simulated hearing experience of the contact hearing device.

An electronic device and a method for hearing test of a user is disclosed, the method comprising obtaining one or more first test parameters including a first primary test parameter; displaying a first user interface comprising a first primary user interface element according to the first primary test parameter; outputting a first primary test signal according to the first primary test parameter; while displaying the first user interface, detecting a first user input indicative of a request for change in the first primary test signal; determining a second primary test parameter according to the first user input indicative of a request for change in the first primary test signal; updating and displaying the first user interface according to the second primary test parameter; and outputting a second primary test signal according to the second primary test parameter.

Presented herein are substantially automated techniques that enable an electro-acoustic or other hearing prosthesis implanted in a recipient to use objective measurements to determine when the recipient is likely experiencing sound perception changes. Once one or more perception changes are detected, the hearing prosthesis may initiate one or more remedial actions to, for example, address the perception changes. As described further below, the one or more remedial actions may include adjustments to the recipient's operational map to reverse the one or more perception changes.

The invention relates to a method for sensing distortion product oto-acoustic emissions (DPOEAs), comprising the following steps: (a) outputting at least one first primary tone pair consisting in each case of a first primary tone having a frequency f 1,1 and a sound pressure level L 1,1 and a second primary tone having a frequency f 2,1 and a sound pressure level L 2,1 with f 2,1 > f 1,1, and (b) sensing evoked distortion product otoacoustic emissions (DPOEAs), characterized in that the first primary tone {f 1,1, L 1,1} is output with a time delay t lag after the second primary tone {f 2,1, L 2,1}.

Method and devices for saving audio data on an ear-worn device are provided herein. In various embodiments, the method can include connecting an ear-worn device to an external device, receiving a request for audio data to be sent from the external device to the ear-worn device, modifying a first audio data file on the external device in accordance with parameters defined in an audio profile associated with the ear-worn device to create a second audio data file, wherein the second audio data file is smaller than the first audio data file, sending the second audio data file from the external device to the ear-worn device, and saving the second audio data file in a non-volatile memory element of the ear-worn device.

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.

An ear-wearable device includes receiver that outputs sound into an ear canal of a user in response to an electrical input signal. The device includes one or more electrical components separate from and electrically coupled to the receiver. A processor is configured to perform a measurement process involving sending an audio input signal to the receiver and measuring a set of frequency dependent electrical characteristics of the one or more electrical components in response to the audio input signal. The set of frequency dependent electrical characteristics are input into a machine learning model to determine an output. A classification of the receiver is determined based on the output of the machine learning model. The classification of the receiver is used to set an operational parameter of the ear-wearable device.

A method and system for providing a customized configuration of settings for an audio processor. The customized configuration is determined for a user based on results of a hearing test. The test may be provided by the system or another system. The customized configuration includes an increase or decrease to an intensity level of one or more frequency bands of one or more channels (e.g., a left and right) to compensate for a decreased hearing threshold level experienced by the user (e.g., as indicated by the hearing test results). The settings may be further adjusted based on an application of one or more equal-loudness contours representing varying sensitivity of the human ear to different frequencies. When audio is played by an application including or in communication with the audio processor, the audio is adjusted based on the customized configuration and the user is provided with an improved listening experience.