985 results about "Hearing aid" patented technology

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.

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.

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 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.

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.

1. The name of the design product: behind-the-ear hearing aid set (F-AID4). 2. The use of the design product: the design product is used for assisting hearing. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: the combined state refers to Figure 1. 5. Other components that need to be explained: component 1 is a behind-the-ear hearing aid earphone box, and component 2 is a behind-the-ear hearing aid earphone.

1. Name of the product in this design: Hearing Aid (H6103). 2. Purpose of this design: For use in assisting hearing. 3. The key design features of this product are its shape and texture. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. Name of the product of this design: Hearing aid component (990). 2. Purpose of the product of this design: used for hearing assistance; component 1 is a hearing aid, and component 2 is a hearing aid box. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: open state reference picture. 5. Design 1 is a left-ear hearing aid, and the views are omitted: the left-ear hearing aid is mirror-symmetrical to the right-ear hearing aid, and the corresponding six-sided views of the right-ear hearing aid are omitted.

The invention provides an intelligent hearing aid method and device based on spectrum enhancement, and relates to the technical field of voice signal processing, and the method comprises the following steps: collecting an audio signal, and carrying out the preprocessing of the audio signal; converting the audio signal into a spectrogram, performing data annotation, and dividing the spectrogram into a training set, a verification set and a test set; creating a spectrum enhancement model and inputting a spectrogram of the training set for model training; performing multiple iterations on the spectrum enhancement model, performing hyper-parameter tuning until the model converges, and evaluating the model; and inputting a real-time audio signal, performing spectrum enhancement processing, and outputting. According to the invention, the frequency spectrum enhancement model is constructed and trained to perform frequency spectrum enhancement processing on the input audio signal, the frequency spectrum gain of the voice signal can be adaptively adjusted according to different noise types and noise intensities on different frequency bands, the quality of the voice signal is effectively improved, and the hearing aid effect is improved.

The invention discloses a hearing aid health analysis method based on a physiological signal monitoring function. The method comprises the following steps: collecting physiological signal data of a user in real time through a multi-mode biosensor array integrated on a hearing aid body; the hearing aid body comprises a digital signal processor and a wireless communication module; the physiological signal data at least comprises a brain wave signal, a skin electric response signal and a temporal artery pulse signal; performing motion artifact elimination processing on the physiological signal data through an adaptive filtering algorithm; performing feature extraction on the preprocessed physiological signal by using an embedded health analysis engine to generate a composite health feature vector containing a sympathetic nerve activity index, cognitive load measurement and a cardiovascular function index; and dynamically generating a health risk assessment report based on an association relationship between the composite health feature vector and a preset hearing scene, the bone conduction vibration unit and the audio synthesis module of the hearing aid body output graded health alarm signals.

1. The name of the design product: hearing aid. 2. The use of the design product: hearing aid and hearing aid charging case for assisting hearing. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: assembly state diagram. 5. Other components that need to be explained: component 1 is a hearing aid charging case, and component 2 is a hearing aid.

1. The name of the design product: hearing aid main unit. 2. The use of the design product: hearing aid main unit without earplug. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

The invention discloses an environmental sound classification and noise reduction method and system for an intelligent Bluetooth hearing-aid earphone. The method comprises the following steps: S1, collecting background noise original audio signals and real-time binaural sound field signals in a typical scene; s2, Mel spectrum features and auditory perception features are extracted from each typical scene, fusion features are calculated, dimension compression is carried out, and a scene feature vector library is obtained; s3, extracting a live sound field feature, and extracting a scene feature vector matched with the live sound field in the scene feature vector library; s4, calculating a sound source direction correction coefficient, and calculating a corrected sound source direction; s5, calculating cross-modal interaction characteristics, then calculating noise suppression intensity and sound source gain intensity, and generating an audio after noise reduction; and S6, generating a synchronous stereo audio signal. The method can solve the problem that the traditional method is difficult to distinguish different types of background noise, so that the voice of a dialogue is inhibited by mistake, and the voice enhancement effect is poor.

1. The name of the designed product: hearing aid. 2. The use of the designed product: worn on the ear, for hearing assistance, audio transmission. 3. The design points of the designed product: in shape. 4. The picture or photo that best shows the design points: set 1 perspective view. 5. Other circumstances that need to be explained: set 1 and set 2 are symmetrical design.