835 results about "Electrophonic hearing" 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 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.

The invention discloses an intelligent noise reduction method and system based on a mine earphone, and the method comprises the following steps: S1, obtaining an original noise signal in a mine operation environment, and carrying out the preprocessing of the original noise signal; s2, designing an adaptive compensation mechanism according to the reflection characteristics of the closed space of the mine, calculating a sound wave propagation attenuation coefficient and reflection delay, constructing a roadway reverberation model, and generating advanced compensation sound waves; and S3, carrying out collaborative fusion on the advanced compensation sound wave and a main noise reduction signal to generate a composite noise reduction signal. The invention relates to the technical field of intelligent noise reduction. According to the intelligent noise reduction method and system based on the mine earphone, the noise level in a mine operation environment is effectively reduced, the communication efficiency and the working comfort of operators are improved, potential damage of noise to hearing of the operators is reduced, and therefore the overall safety and the production efficiency of mine operation are improved.

The invention discloses an earphone sound effect personalized balanced automatic tuning method and system, and particularly relates to the technical field of earphone tuning, and the method comprises the steps: collecting the hearing feature data of a user in an initialization stage, constructing an individual compensation baseline, and carrying out the self-tuning of the earphone sound effect; solidifying a safety boundary containing the maximum allowable gain, the maximum output, the compression parameter upper limit and the parameter change rate upper limit as a hard constraint; in daily use, multi-source data is collected by taking a wearing session as granularity, the comprehensive quantity of comfort evidence is calculated, and a comfort label sequence is generated; based on the scene feature sequence, the comfort level label and the current parameter, constructing an individualized discomfort risk model, performing multi-objective decision making by combining the definition income, the comfort level risk cost and the security boundary hard constraint, and outputting an updated parameter set; smooth taking-into-effect and safe output of parameters are achieved through gradual issuing and protection state control, and evolution updating and version backspacing are carried out based on long-term logs.

The invention relates to the technical field of medical data processing, in particular to a data analysis and processing system based on clinical hearing detection, and aims to solve the problems that dynamic characteristics of auditory nerve response cannot be systematically described, high-dimensional multi-modal feature vectors cannot be constructed, and the data analysis and processing efficiency is low in the prior art. A stable and reliable input basis cannot be provided for intelligent classification, anomaly detection and individualized analysis, and the sensitivity and specificity of hearing state recognition are reduced; the multi-dimensional hearing feature extraction module fuses time domain, frequency domain and non-linear complexity analysis methods, systematically depicts dynamic features of auditory nerve response, constructs a high-dimensional multi-modal feature vector by integrating three-dimensional features, remarkably improves sensitivity and specificity of hearing state recognition, and improves the accuracy of hearing state recognition. The feature representation method provides a stable and reliable input basis for subsequent intelligent classification, anomaly detection and individualized analysis.

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.

A captioning method for presenting captions to an assisted user (AU) during communication with a hearing user (HU) where the assisted user uses a captioned device and the hearing user uses a hearing user's device to facilitate the communication, the captioned device including a display screen and a speaker for presenting captions and broadcasting the hearing user's voice signals, respectively, the method comprising the steps of during an ongoing call between the AU and the HU, using an automated speech recognition (ASR) engine to generate initial ASR captions associated with the HU's voice signal, assessing at least one caption quality factor associated with prior initial ASR captions generated during the ongoing call, delaying broadcast of HU voice signal to the AU and based on the at least one caption quality factor, adjusting a duration of the HU voice signal broadcast delay.

The invention relates to a method for testing a participant's ability to accurately detect speech under background noise, comprising: (a) audibly presenting a series of 2-bit numbers, 3-bit numbers, 4-bit numbers and / or 5-bit numbers in a random or fixed order to a participant's first ear at a fixed or varying signal-to-noise ratio (SNR) in a quiet or noisy environment, (b) audibly presenting a series of 2-bit numbers, 3-bit numbers, 4-bit numbers and / or 5-bit numbers in a random or fixed order to the second ear of the participant at a fixed or random signal-to-noise ratio (SNR) in a quiet or noisy environment, where the numbers are presented in the native language of the participant or the fluent language of the participant, (c) recording the numbers or sequence of numbers correctly recognized by the participant, and (c) storing the recorded numbers or sequence of numbers at the second ear of the participant. And (d) calculating a score as a function of the percentage of the number or sequence of numbers correctly replicated by the subject, or as a function of the sound intensity difference between the speech and noise required to achieve the correct recognition of 50% sequence of numbers. The invention also relates to a device and a method for measuring the digital recognition capability related to hearing loss, and to a computer-implemented method for evaluating the speech recognition capability of a participant.

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.

An accessory device includes: an antenna; a processing unit; and a memory storing a first accessory device parameter; wherein the processing unit is configured to: obtain the first accessory device parameter, obtain a first hearing device parameter received via the antenna of the accessory device, determine a first criterion value based on the first hearing device parameter and the first accessory device parameter, and perform a comparison between a received signal strength indicator and the first criterion value, the received signal strength indicator indicating or being associated with a radiated power transmitted from a hearing device and received at the accessory device; and wherein the processing unit is configured to perform a pairing action if a result of the comparison satisfies a criterion.

1. The name of the design product: hearing aid (H6). 2. The use of the design product: for helping people with impaired hearing or hearing impairment to improve their hearing ability. 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 circumstances that need to be explained: component 1 is for right ear wearing, component 3 is for left ear hearing aid, component 3 and component 1 are mirror image symmetric design, so the six view and perspective of component 3 are omitted.

1. The name of the design product: behind-the-ear hearing aid set (F-AID5). 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.

The invention discloses an intelligent exoskeleton bone auxiliary conduction hearing aid system capable of being remotely controlled and having an electroencephalogram control function, and relates to the technical field of intelligent rehabilitation robots and hearing aid devices. The wearable mechanical part comprises a flexible actuator, an elastic fabric base material, an inertial measurement unit IMU, a plantar pressure sensor array, a surface myoelectricity EMG sensor and an electroencephalogram EEG sensor. And the information processing communication part comprises a central controller, a bone conduction hearing aid module, a multi-mode sensor, an embedded SoC, a DSP / AI accelerator, a 4G / 5G / Wi-Fi module and a power management unit. The flexible exoskeleton walking aid system and the bone conduction hearing aid module are integrated, the electroencephalogram EEG sensor is additionally arranged to achieve the electroencephalogram control function, and cooperation of the three functions of movement assistance, auditory perception and neural intention recognition is achieved. A user can directly control the exoskeleton action mode through electroencephalogram signals, meanwhile, intelligent assistance of lower limb joints is obtained in the walking process, and environment sounds and voice prompts are clearly received in a bone conduction mode. According to the system, the perception ability, the control flexibility and the social participation degree of old people or rehabilitation patients who are inconvenient to move and accompanied with hearing impairment in a complex environment are remarkably improved, and more natural and convenient man-machine interaction experience is provided for users.

The invention relates to the technical field of crossing of medical instruments and artificial intelligence, and provides a hearing threshold detection method based on multi-mode hearing electrophysiological signal fusion. Comprising stimulation frequency otoacoustic emission and auditory brainstem response induced by sweep frequency stimulation sound, distortion product otoacoustic emission induced by dual-tone stimulation and middle ear sound immittance / reflection signals, and a multi-task deep learning model is constructed to perform fusion analysis on the signals. According to the method, accurate quantitative regression prediction of hearing thresholds with any frequency resolution and automatic classification and discrimination of hearing loss properties are synchronously realized, the problems of single evaluation dimension and insufficient complex hearing loss analysis ability in the prior art are effectively solved, the comprehensiveness, accuracy and clinical operation efficiency of objective hearing evaluation are remarkably improved, and the method is suitable for popularization and application. And an innovative system solution is provided for fine diagnosis of the auditory function.

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.

The present disclosure relates to a wirelessly rechargeable in-car hearing device, a charger for a wirelessly rechargeable in-car hearing device, and a system comprising a wirelessly rechargeable in-car hearing device and a charger for the wirelessly rechargeable in-car hearing device.

The invention relates to the technical field of health data processing, in particular to an intelligent health data processing method and device and a storage medium, and the method comprises the steps: collecting the pure tone hearing threshold of a user under a standard frequency table, constructing a pure tone audiometry map of the user, extracting the hearing threshold features of the user, constructing the hearing sensitive state index of the user, and obtaining the hearing sensitive state index of the user; then determining a basic hearing state of the user; collecting health data of the user in real time; calibrating an otoacoustic emission amplitude and an ABR wave V amplitude of the user; constructing a peripheral-central function coupling index of the user; and constructing an occult hearing loss model based on the peripheral-central function coupling index and the hearing processing disorder index of the user so as to output the occult hearing loss state of the user, and performing hearing health early warning on the user by integrating the occult hearing loss state of the user and the basic hearing state. According to the invention, the efficiency of health data processing is effectively improved.

A communication device for a hearing protection system comprising one or more hearing protection devices. The communication device comprises a processing unit, a memory, and an interface. The interface comprises a first hearing protection device interface comprising a first connector for connection of a hearing protection device. The interface comprises a second hearing protection device interface comprising a second connector for connection of a hearing protection device. The first connector and the second connector are of the same connector type.

The invention discloses a multi-mode hearing function analysis system for prognosis evaluation of sudden deafness, which relates to the technical field of auditory rehabilitation engineering, and comprises an echo modeling module, a pseudo peak tracking module, a resonance correction module, a beat reconstruction module and a steady-state peak elimination module, and establishing a time-frequency phase-locked observation baseline, calibrating a complete echo path difference between the ear canal and the transducer, and generating echo topology priori. Echo topology reference is constructed, false peak tracking, resonance elimination and beat reconstruction mechanisms are combined, high-frequency false peak interference is accurately recognized and weakened, acoustic response authenticity is improved, auditory assessment precision is improved through a closed-loop regulation strategy, and sudden deafness prognosis judgment and rehabilitation intervention are effectively supported.

The invention relates to the technical field of biostatistics, and discloses a noise language frequency hearing impairment prediction system based on a GEE model and genetic characteristics, and the system comprises a data collection module which collects follow-up visit data of a worker; the data processing module is used for generating a standardized modeling data set; the feature screening module is used for screening features through a statistical learning method to obtain a key feature subset; the time-varying interaction module is used for constructing a generalized estimation equation model and outputting regression coefficient estimation; the risk prediction module outputs the risk probability and the risk layering result of the individual; the decision support module is used for generating hearing protection suggestions of the individuals; according to the method, the generalized estimation equation model is constructed to process follow-up data of occupational noise exposure workers, so that the accuracy and the stability of language frequency hearing loss risk prediction are improved, a basis is provided for formulating a personalized hearing protection scheme and recommending a proper hearing protection device, and the method is suitable for popularization and application. And the transformation of occupational hearing loss from passive treatment to active prevention is facilitated.

A system and associated processes include a left and right eyewear stem, each including a microphone array comprising a plurality of microphones, and a digital hearing aid that receives content from the microphone array and extracts a desired signal from the content, the digital hearing aid applying frequency-dependent gain to the desired signal to compensate for a user's hearing loss profile. The system further includes processes that receive the desired signal modified with the frequency-dependent gains to acoustically render the desired modified signal proximate to the ear of the user without anything physical being placed within an entrance to an ear canal. A rechargeable battery may be included, along with a front face of the eyewear configured to hold a pair of eyewear lenses, where the front face lacks an electrical conductor connecting the right and left eyewear stem.

Various sounds are reproduced in a passenger cabin of a transportation vehicle with a plurality of positions for seating respective persons who may have differential hearing losses between a right ear and a left ear. A dominant ear and a nondominant ear are identified of a particular user in a respective seating position. Electrical audio signals are generated in a sound source intended for reproduction by an array of speakers disposed within the passenger cabin for directing reproduced sounds toward the seating positions from respective directions. The audio signals are differentially adjusted before sending them to the array of speakers such that reproduced sounds directed to the nondominant ear are attenuated in relation to the reproduced sounds directed to the dominant ear (i.e., the sound to the dominant ear is enhanced).

A method for noise suppression in a hearing instrument includes using an acousto-electric input transducer of the hearing instrument to generate an input signal from ambient sound. A frequency-band-wise noise suppression is applied to a processing signal derived from the input signal. Stationary noise is detected in the respective frequency band, and depending on the detected stationary noise, an amplification factor of the processing signal is set for the relevant frequency band. An analysis adapted to detect stationary and non-stationary noise is applied to the processing signal. The analysis has a lower frequency resolution than the frequency-band-wise noise suppression and, upon detected presence of stationary and / or non-stationary noise in the analysis of the processing signal, the stationary noise in the frequency-band-wise noise suppression is presumed to be detected in each frequency band, and the corresponding amplification factors are set.

The present application discloses an active echo canceller for a hearing device, where the hearing device comprises an output interface configured to output a first sound based on a far-end signal, an input interface configured to provide a plurality of input audio signals indicative of the first sound and a near-end sound, and one or more processors, a filter configured to: filter a first filter input signal based on a far-end signal using a first filter to provide a first filtered signal, the first filter configured to estimate an echo signal originating from a first sound; combining the first filtered output signal with a first input signal to provide a first output signal; filtering a second filter input signal based on the plurality of input audio signals using a second filter to provide a second filtered signal, the second filter configured to attenuate the near-end sound; combining the second filtered output signal with the first filtered output signal to provide an update signal; one or more first filter coefficients of the first filter are updated based on the update signal.

The invention relates to the field of chip clamps, in particular to a hearing aid output limit adjusting method, which comprises an adjusting system, and the adjusting system comprises a hardware module and a software module. The hardware module comprises a DSP module, a collection module, a power amplifier module and a power supply module. The software module comprises a signal processing module, a user interface module and a system management module; the DSP module is used for realizing a complex signal processing algorithm and analyzing sound signals in real time through cooperation of an efficient digital signal processor and an artificial intelligence algorithm, and the method is used through modular connection, collects and analyzes user hearing signals in real time, dynamically adjusts output limitation in combination with hearing conditions and environmental factors of a user, and improves the user experience. In this way, comfort of the user in various hearing scenes can be guaranteed, hearing of the user can be effectively protected, perfect balance between the amplification effect and the comfort of the user is achieved, habits of the user are conveniently recorded in cooperation with the DSP module and the system management module, and user experience is improved.

A system (300) and a method for improving hearing are described. In one embodiment of the system (300), a programming interface (16) is configured to communicate with a device. The system (300) analyzes, using a loudspeaker and a user interface (16) associated with the device, the left ear—and, separately, the right ear—of a patient at a frequency selected incrementally within a frequency range. The detected tinnitus frequencies are retested to further identify them. The system (300) then determines the range of hearing affected by tinnitus in the left and right ears.

This sound adjustment device 1 comprises a sound receptivity recognition unit 11 that recognizes the receptivity of a user with respect to sound, and a sound customization unit 13 that customizes, in accordance with the receptivity, the sound to be provided to the user. The sound receptivity recognition unit 11 recognizes at least one among a hearing function of the user, an obstacle pertaining to the sound, and a preference pertaining to the sound. The user is a player P of a game and the sound is from said game. The sound customization unit 13 is provided to a game machine C that provides at least a portion of the game played by the player P and is present in the same local area as the player P.

The application discloses a kind of adaptive hearing compensation Bluetooth hearing aid optimization method and system, comprising: S1: collecting user individual hearing curve and the background audio data of left and right ear under each typical scene and respectively pre-processing;S2: extracting the time-frequency fusion feature of each typical scene, generate scene feature vector and construct scene feature vector library;S3: calculate scene perception conversion vector, mutation risk vector, smooth gain vector;S4: calculate binaural gain change vector, binaural synchronization entropy vector, phase alignment factor vector and left and right ear collaborative gain vector;S5: according to left and right ear collaborative gain vector, the background audio data of left and right ear pre-processed under current scene is handled, and output to Bluetooth hearing aid.The application can solve the gain mutation problem generated when existing Bluetooth hearing aid switches scene and the problem of spatial perception distortion caused by binaural collaborative disorder.