1335 results about "Hearing aid" patented technology

Embodiments herein relate to a hearing assistance system including a multi-function charging case for one or more ear-worn devices. The case can be placed in a streaming mode, in which first input audio is received by the case and streamed from the case to the ear-worn device. The case can be switched between different modes, including the streaming mode and a charging mode, using a user input device. Other embodiments are also included herein.

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 system comprises a hearing device, e.g. a hearing aid or a headset, configured to be worn by a user. The hearing device comprises at least one input transducer for providing at least one electric input signal representative of sound in the environment of the hearing device, wherein said at least one electric input signal comprises a target signal component assumed to be of current interest to the user, and a noise component. The hearing device further comprises a noise control system configured to provide an estimate of said target signal component and an estimate of said noise component and to apply a statistical structure to said noise component to thereby provide a modified noise component comprising said statistical structure; and to determine a modified estimate of said target signal component in dependence of said modified noise component. Thereby an improved segregation of sound sources may be provided.

The embodiment of the invention discloses a gout detection hearing aid system for monitoring uric acid level in real time by using a sweat sensor, and relates to the technical field of hearing aid devices and algorithms. The hearing aid system comprises a hearing aid, a processor and a processor, the outer side of the flexible sweat sensor patch is used for being attached to the skin behind the ear, the inner side of the flexible sweat sensor patch is attached to the outer surface of the hearing aid, and the flexible sweat sensor patch is electrically connected with the hearing aid chip through a contact electrode; sweat of the skin behind the ear flows into the micro-channel through the sweat collecting hole, after an electric field is applied to the detection electrode, the level of uric acid in the micro-channel is measured through the Raman spectrum technology, and the uric acid is transmitted to the interior of the hearing-aid chip to be processed. And the disease monitoring system is used for recording detection data, analyzing gout risks and linking the hearing aid to carry out in-ear early warning when the data is abnormal. The system is noninvasive and portable, and can solve the problem of user hearing and gout management at the same time.

1. The name of the design product: hearing aid and charging case. 2. The use of the design product: for hearing aid. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: reference figure 1 in use.

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.

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.

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.

According to some embodiments, an ear-worn device, e.g., a hearing aid, is provided that operates to enhance audio signals detected by the ear-worn device. In some embodiments, the ear-worn device includes a microphone, a processing circuit coupled to the microphone, and an output signal generator coupled to the processing circuit. In some embodiments, a method for enhancing audio signals includes: detecting an audio signal with the microphone; as the audio signal is being detected, dividing the audio signal into a plurality of segments; enhancing the detected audio signal with the processing circuit of the hearing aid; and outputting the enhanced audio signal with the output signal generator. In some embodiments, enhancing the detected audio signal includes processing one or more of the segments of the detected audio signal with a neural network engine (NNE) of the processing circuit to obtain an output for enhancing the detected audio signal.

The invention relates to a hearing aid intelligent noise reduction and human voice enhancement system based on electroencephalogram signals, and belongs to the field of biomedical engineering and acoustic signal processing. The system comprises an electroencephalogram signal acquisition module, a multi-channel acoustic sensor array, an embedded neural signal processor, an adaptive beam forming module, a dynamic speech enhancement engine and a dual-mode output device, and constructs electroencephalogram-acoustics joint features by extracting an alpha / theta wave power ratio, a P300 component and auditory cortical Gamma phase synchronism. A deep network is driven to separate target voice, a wave beam direction and a frequency response curve are dynamically adjusted based on neural feedback, a closed-loop calibration unit is innovatively adopted, gain is reversely adjusted according to N1-P2 wave amplitude, heart rate variability and eye movement data are fused to optimize decisions, and when the signal-to-noise ratio is-5dB, the voice recognition rate reaches 89%, the auditory fatigue is reduced by 37%, and the decision conflict rate is smaller than 6%. The defects of attention blind area, noise separation failure and physiological adaptation of a traditional hearing aid are overcome. The system is suitable for the fields of hearing impairment rehabilitation, special communication and intelligent cabins.

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.

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 invention provides a sound processing method, system and device based on a hearing aid and a storage medium, and the method comprises the steps: collecting sound signals, including background noise and voice signals, of a hearing aid use environment in a large scale; the sound signals are preprocessed, abnormal values and missing values are processed, the abnormal values and the missing values are scaled into a unified scale, and the sound signals are divided into a training set and a test set; adjusting and optimizing parameters of the standard adaptive filtering model by using an improved gradient descent optimization algorithm, wherein the parameters comprise a filter order, a maximum number of iterations, an initial step length and a regularization coefficient; and inputting the test set into the optimized algorithm to realize optimization processing of the sound signal. According to the invention, the voice definition and the background noise suppression capability can be improved, and the use effect and the user experience of the hearing aid in a complex environment are improved.

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 utility model discloses an ear canal embedded hearing aid, which relates to the technical field of medical instruments, and comprises a bearing assembly, the bearing assembly comprises a first packaging shell, a second packaging shell and a filter screen, a signal processing piece and a lithium battery are respectively arranged in the first packaging shell, and the second packaging shell is provided with a second packaging shell. The signal processing piece comprises a signal amplifier, a filter and a central processing unit, and a micro air pump, a control switch, a potentiometer and a microphone are installed on the right side of the first packaging shell. The beneficial effects of the utility model are that through the arrangement of the miniature air pump, the air delivery pipe and the expansion anti-skid assembly, when the ear canals of different users have large differences or need to be worn stably, the miniature air pump can be controlled to work, so that air enters the hollow rubber ring through the air delivery pipe and the delivery pipe, and the hollow rubber ring is gradually expanded to be in contact with the ear wall; therefore, the wearing stability of the bearing assembly is ensured, and the sound definition after conversion of the receiver is ensured.

The invention discloses a Bluetooth hearing-aid earphone optimization method and system for adaptive hearing compensation. The method comprises the following steps: S1, acquiring a personalized hearing curve of a user and background audio data of left and right ears in each typical scene, and respectively preprocessing the background audio data; s2, extracting time-frequency fusion features of each typical scene, generating scene feature vectors, and constructing a scene feature vector library; s3, calculating a scene perception conversion vector, an abrupt change risk vector and a smooth gain vector; s4, calculating a binaural gain change vector, a binaural synchronous entropy vector, a phase alignment factor vector and a left and right ear cooperative gain vector; and S5, according to the left and right ear cooperative gain vectors, processing the background audio data after left and right ear preprocessing in the current scene, and outputting the processed background audio data to the Bluetooth hearing-aid earphone. According to the invention, the problem of gain abrupt change generated during scene switching of the existing Bluetooth hearing-aid earphone and the problem of spatial perception distortion caused by binaural coordination imbalance can be solved.

A hearing aid system comprises a hearing aid, and a portable auxiliary device’ adapted to establish a communication link between them. The hearing aid comprises a microphone providing an electric input signal, a signal processor, and an output unit. The auxiliary device comprises a microphone providing an auxiliary electric input signal, and a user control interface allowing a user to initiate a specific calibration mode of operation of the hearing aid system. The signal processor of the hearing aid is configured to receive corresponding time segments of said electric input signal and said auxiliary electric input signal to provide an estimate of an acoustic transfer function from said microphone of said auxiliary device to said microphone of said hearing aid. A method of operating a hearing aid system is further disclosed. The invention may e.g. be used in various applications related to own voice detection and estimation.

An auditory neural interface device for sound perception by an individual that may be used as a hearing aid. The auditory neural interface device includes a receiver configured to receive sound signals, a processor operably connected to the receiver and configured to encode a received sound signal as a multi-channel neurostimulation signal, and a neurostimulation device operably connected to the processor and configured to apply the multi-channel neurostimulation signal to a neurostimulation electrode of the individual. The neurostimulation signal is configured to directly stimulate afferent sensory neurons of the central nervous system of the individual and thereby to elicit, for each channel of the neurostimulation signal, one or more non-auditory, preferably somatosensory, perceptions in a cortex area of the individual. Each channel of the neurostimulation signal is associated with a different non-auditory perception.

The invention discloses a conduction device fitting management system and a conduction device, and belongs to the technical field of data analysis, and the method specifically comprises the steps: collecting multi-source fitting data, carrying out the real-time fusion, and constructing a scene-physiology-loss three-dimensional self-adaptive model through the combination of a regional fitting strategy defined based on a geographic position or an environment type; according to the real-time fusion data and model data, dynamically allocating three types of data priorities and generating initial compensation parameters, inputting the initial compensation parameters into a third-order LSTM acoustic compensation engine containing an attention mechanism, and outputting acoustic compensation signals in combination with hearing audio signals collected by a real-time hearing test strategy; converting the acoustic compensation signal into a hearing aid DSP executable instruction, driving the hearing aid to compensate and output a gain curve, and collecting user feedback at the same time; the system can adaptively adjust the compensation parameters according to the real-time state of the user and the environment change, and improves the compensation effect of the hearing aid.

1. Name of the Design Product: External Receiver Behind-the-Ear Hearing Aid. 2. Use of the Design Product: After professional fitting, it is used to compensate for the hearing of patients with conductive hearing loss. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photo that Best Illustrates the Design Key Points: Stereogram.

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.

To provide a hearing aid system having a new configuration.SOLUTION: A hearing aid system 1 includes: an acquisition section 301 for acquiring information data related to information of a user of a hearing aid and state data measured by using the hearing aid while the hearing aid is mounted on the user; a database 302 for storing the information data and the state data acquired by the acquisition section 301 by association; and an identification processing section 303 for executing identification processing by using the information data and the state data stored in the database 302. The identification processing section 303 compares the state data in a first situation (point of sale) with the state data in a second situation (time of state confirmation) based on the information data as the identification processing, so as to execute determination processing to determine whether the hearing aid 100 is correctly mounted.SELECTED DRAWING: Figure 1

A system for hearing assistance includes an array of microphones, which are configured be mounted in proximity to a head of a user of the system and to output electrical signals in response to first acoustic waves that are incident on the microphones. A speaker is configured for mounting in proximity to an ear of the user and configured to output second acoustic waves in response to a drive signal applied to the speaker. Processing circuitry is configured to generate the drive signal by amplifying and filtering the electrical signals using a beamforming filter that emphasizes first sounds that impinge on the array of microphones within a selected angular range while suppressing second sounds that are spoken by the user.

The invention discloses a speech training hearing aid system carrying an AI speech anomaly assessment algorithm, and relates to the AI speech anomaly assessment algorithm, which is characterized in that comprehensive hearing assessment is carried out by collecting a composite signal and formulating an age adaptation rule base, hearing threshold dispersion and signal-to-noise ratio attenuation are obtained, and then a hearing level assessment coefficient is obtained; daily speech evaluation is carried out by collecting speech feature data and formulating a standard speech comparison library, a daily speech anomaly evaluation model is constructed by using a convolutional neural network learning model, and then a daily speech evaluation coefficient is obtained; by collecting multi-dimensional data, professional speech evaluation is carried out, and then a professional speech evaluation coefficient is obtained; and according to the hearing level evaluation coefficient, the daily speech evaluation coefficient and the professional speech evaluation coefficient, analysis is performed to obtain an analysis result, and a comprehensive analysis scheme is formulated, so that the accuracy is greatly improved.

1. Name of the Design Product: Hearing Aid Headphones. 2. Use of the Design Product: Hearing Aid Headphones. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photo that Best Illustrates the Design Key Points: Combined State Reference Drawing.

A hearing aid device can include a housing having a button operable to activate the hearing aid device. Operation of the button activates the hearing aid device. A shim can be configured to inhibit operation of the button. The shim can include a shim body. The shim can include a button recess having a recess wall extending from the shim body. The shim can include the recess wall at least partially surrounds the button recess. The button recess can be configured to receive at least a portion of the button. The shim can include a channel having a channel wall. The channel can be in communication with the button recess, and the channel 10 can be configured to receive at least a portion of the button.