2621 results about "Electrophonic hearing" patented technology

A neural end-to-end system is provided for the face and voice preserving translation of videos. The system is a pipeline of multiple models that produces a video of the original speaker speaking in the target language with modified lip movement to match the target speech, while preserving emphases and prosody of the original speech, and voice characteristics of the original speaker. The pipeline starts with automatic speech recognition including emphasis detection, followed by the translation model. The translated text is then synthesized by a Text-to-Speech model that recreates the original emphases in the target sentence. The resulting synthetic speech is then converted back to the original speakers' voice using a voice conversion model. Finally, to synchronize the lips of the speaker with the translated audio, a generative model generates frames of adapted lip movements which are combined with the audio to produce the final output. The disclosure further describes several use-cases and configurations that apply these techniques to video conferencing, dubbing, low-bandwidth transmission, speech enhancement and assistive technology for the hearing impaired.

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.

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 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.

A receiver-in-canal (RIC) hearing device comprises a housing configured for deployment behind an ear of a user of the hearing device. A power source, audio components, a communication device, and a controller are respectively disposed in the housing. A cable assembly comprises a cable, a receiver disposed at a distal end of the cable, and a connector disposed at a proximal end of the cable and configured to attach to the housing. An optical sensor is disposed in the connector and configured to generate a proximity signal based on proximity of the optical sensor to skin at or near the user's ear. The controller is configured to operate the hearing device in a nominal power mode in response to the proximity signal exceeding a threshold and to operate the hearing device in a low power mode in response to the proximity signal falling below the threshold.

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 belongs to the technical field of hearing testing, and relates to a self-adaptive hearing screening optimization method based on acoustic feature analysis, which comprises the following steps: generating audio data with different signal-to-noise ratios through a constructed audio library, measuring an acoustic transfer function of a user ear canal by using a probe microphone, and generating a personalized acoustic transfer function in combination with a head-related transfer function. Time domain and time frequency features are extracted by means of EEG data, and the auditory reaction ability and the spatial auditory ability of the user are quantified in combination with the spatial positioning features of the binaural simulation microphones; the method comprises the following steps: constructing a multi-modal auditory feature vector, weighting features in combination with a multi-head attention mechanism, predicting the hearing age of a user through a time sequence Transform encoder in combination with the age of the user and a standard threshold value, and evaluating hearing loss according to a prediction result; the individual difference of each user can be accurately adapted, the defect that individual difference and complex environmental noise are neglected in a traditional hearing screening method is overcome, and therefore the accuracy of a screening result is 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 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 method for predicting cochlear hearing loss based on pure tone induced SFOAE, which comprises the following steps of: extracting a stimulation frequency otoacoustic emission signal through a six-section stimulation signal normal form to obtain a stimulation sound playing sequence diagram in single stimulation frequency otoacoustic emission signal acquisition, and extracting a time domain residual signal; and low-frequency background noise in the time domain residual signals is removed through a zero phase shift high-pass filter with cut-off frequency. And performing stack average processing on the plurality of filtered time-domain signals, and storing the time-domain signals in an odd-order buffer area and an even-order buffer area one by one according to an odd-even order. The method comprises the following steps: performing dimension reduction feature extraction on a single stimulation frequency otoacoustic emission signal through principal component analysis, training a machine learning algorithm based on principal component features, and constructing a hearing loss prediction model; and calling the hearing loss prediction model to compare the feature input with the representation of the single stimulation frequency otoacoustic emission signal without dimension reduction in the original data space, and quantitatively predicting the cochlea hearing loss threshold.

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 invention relates to the field of hearing equipment, in particular to an earphone system, an earphone and a control method of a camera module of the earphone. The earphone system comprises a sound acquisition module and a camera shooting module which are arranged on an earphone, and a processing module, the sound acquisition module is used for acquiring environment sound data of a space where the earphone wearer is located; the camera module is used for shooting under the control of the processing module; and the processing module is used for determining a current scene where the earphone wearer is located according to the environment sound data, and awakening the camera module to shoot under the condition that the current scene is a preset target scene.

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 loudspeaker system and method can measure a specific user's hearing and implement compensatory or corrective processing to address the user's hearing deficiencies. The user's hearing acuity may be determined by (i) headphone techniques in which frequency-based hearing thresholds are determined; (ii) a loudspeaker system set up as intended for use in an acoustic space to emit tonal stimuli; or (iii) inducing, acquiring, and interpreting otoacoustic emissions. Once the hearing profile is determined, appropriate signal processing parameters can be used to generate a corrected audio output signal adjustment. The administered hearing test results can include a plurality of hearing loudness threshold levels at respective test frequencies. The hearing correction system's corrected audio output can be generated from corrected loudness values at selected correction frequency sub-bands.

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 invention provides a sound coordination method and system based on a tinnitus condition, and relates to the technical field of tinnitus treatment.The method comprises the steps that a tinnitus feature vector of a patient is established through broadband hearing testing and three-dimensional sound field modeling, and a dual-mode treatment audio is generated based on the tinnitus feature vector; the dual-mode treatment audio comprises offset sound waves with opposite phases and masking sound waves with matched frequency bands; establishing a dynamic mapping relationship between a game interaction event and the audio parameters of the dual-mode treatment audio; and dynamically adjusting treatment parameters according to the dynamic mapping relation and the real-time physiological feedback data. The tinnitus characteristic vector of the patient is accurately established through comprehensive application of broadband hearing testing, three-dimensional sound field modeling and binaural sound field matching, and the treatment audio is dynamically adjusted according to personalized characteristics of tinnitus. According to the personalized sound coordination method, the tinnitus symptom can be effectively relieved according to the tinnitus symptom of each patient, and the treatment compliance of the patient is improved.

An approach for improving communications for hearing challenged individuals. The approach captures audio communication and video communication associated with a speaker presentation. The approach converts the audio communication to text. The approach sends the text to an augmented reality (AR) device, associated with a user having hearing challenges, as captions. The approach stores the audio communication, the video communication, and the captions for replay by the user.

A magnet in a wireless charger and a ferromagnetic target plate in a hearing assistance device are used to create a magnetic retention force to hold the hearing assistance device in place when charging in order to control an amount of interference with a wireless charging occurring between the wireless charger and the hearing assistance device. A housing for the wireless charger has one or more storage areas. The contours of the storage areas each conform to a shape of the hearing assistance device that will be stored in that storage area.

Methods and apparatuses are described for modulating multiple integrated neural networks to alter composite sensory processes, such as audition or hearing. These methods and apparatuses may be used for therapeutic and non-therapeutic uses, including enhancing entertainment and communication, by providing a cranio-cervical tuning apparatus worn in or around the outer ear or auricle. These methods and apparatuses may include functional neurosensory bias for neurosensory scrambling neuromodulation to influence composite or multi-modal sensory processes.

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 earplug having a bamboo attenuator and a tapered body portion that includes a central shaft with bamboo attenuator disposed within and extending throughout an entirety of a hollow sheath, and contact structures which are flexible and have a successively smaller size moving from a lateral end of the tapered body portion to a medial end of the tapered body portion, and a stopper portion attached to the lateral end of the tapered body portion. The earplug provides passive, nonlinear attenuation of incoming sound to provide hearing protection to a user while allowing for comfortable use.

In one embodiment, an eyeglass frame includes a lens holder, a first temple with a first end close to the lens holder and a second end, a second temple, an electrical connector and a printed circuit board. The printed circuit board with at least one electrical component can be in the first temple. The connector can be close to the first end of the first temple, facing downward, and electrically connected to the at least one electrical component. In an embodiment, a pair of glasses can perform hearing enhanced functions to enhance audio signals for the user to hear. One embodiment is configured to be a headset. One embodiment has audio and / or textual output capabilities for a user to communicate in different ways depending on configuration, user preferences, prior history, etc. In one embodiment, the communication between users is achieved by short audio or textual messages.

The invention relates to the field of aviation voice signal processing, and discloses a voice recognition compensation pilot earphone hearing protection method and system, and the method comprises the following steps: collecting multi-modal data, and separating a sound source through tensor decomposition; inferring a pilot state by using a dynamic network; performing context recognition and semantic evaluation on the attention target voice; and finally, dynamically modulating the sound field based on deep reinforcement learning, enhancing the voice in a personalized manner, and outputting after noise suppression. The system comprises a multi-mode perception data acquisition module, a sound source decoupling module, a pilot state inference module, a voice processing and semantic evaluation module and a sound field modulation and output module. According to the invention, high-fidelity speech extraction is realized through multi-modal perception and tensor decomposition; evaluating priority key information in combination with attention and semantics; and deep reinforcement learning and model prediction control are adopted to dynamically optimize the sound field, so that the voice recognition accuracy and the pilot information acquisition efficiency are improved.

The invention provides a hearing screening system suitable for rural old people, and belongs to the technical field of data processing, and the system comprises a data collection module which collects voice and determines a comprehensive data set; the equipment calibration module is used for determining an audio output parameter of the hardware equipment based on the hardware equipment characteristics in combination with the hardware equipment characteristics, and calibrating the hardware equipment; the parameter determination module is used for determining voice interaction parameters; the hearing test module is used for generating an audiogram; the preliminary judgment module is used for analyzing the audiogram and determining a preliminary judgment result; and the result determination module is used for selecting vocabularies from a preset vocabulary database and a dialect voice database, playing high-frequency audios corresponding to the vocabularies on the calibrated hardware equipment, obtaining user feedback and determining an optimization judgment result in combination with the vocabularies and the dialect voice database. The method has the advantages of individuation, accuracy and high efficiency, is low in cost, is especially suitable for hearing screening requirements of rural old people, and improves the universality and accuracy of screening.