182 results about "Hearing apparatus" patented technology

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.

A fitting apparatus for a hearing device includes a memory, the memory having stored thereon a plurality of embedding vectors and related solutions for possible hearing issues with a hearing or computing device. The fitting apparatus is configured to:receive, via a user interface, a first signal indicative of a natural language input indicative of an issue experienced by a user;determine an embedding based on the natural language input;generate, based on the embedding, a first embedding vector;determine a closest match between the first embedding vector and an embedding vector of the plurality of embedding vectors; andsend, to the user interface, a second signal indicative of a reply output, the reply output comprising information related to a solution of the related solutions for the issue experienced by the user.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

An illustrative hearing system may be configured to receive, from an input transducer included in a hearing device configured to be worn by a user, audio data representative of one or more audio signals presented to the user and acquire motion data representative of head movements of the user while the user wears the hearing device and / or own-voice data representative of an own-voice activity of the user. The hearing system may be further configured to determine, based the motion data and / or own-voice data, a listening state of the user with respect to the one or more audio signals and perform, based on the listening state, an operation associated with the hearing device.

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.

A method for training a speech enhancement neural network for being executed on a hearing device comprises: providing a speech enhancement neural network, providing a speech style transfer algorithm for converting speech samples with a first speech style into speech samples with a second speech style, obtaining at least one training data set and applying supervised training on the speech enhancement neural network. The speech enhancement neural network has a network audio input for receiving an input audio signal, one or more network layers for predicting an enhanced audio signal and / or a filter mask for filtering the input audio signal, and a network output for outputting the enhanced audio signal and / or the filter mask. The at least one training data set comprises a training input audio signal comprising a speech sample and a target speech sample.

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.

Various embodiments of a hearing device and a system including such device are disclosed. The hearing device can include an enclosure having a front housing and a rear housing, and an isolator disposed between the front housing and the rear housing. The isolator includes a body and a sleeve disposed on the body. The front housing and the rear housing are connected to the sleeve of the isolator. The device further includes a microphone disposed in the front housing, a receiver disposed in the rear housing, an acoustic port that extends through the isolator body between the receiver and an opening disposed in a first end of the front housing, and a microphone port that extends between the microphone and the opening disposed in the first end of the front housing.

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 embodiment of the application discloses a method and system for detecting the state of a bone conduction hearing device, the bone conduction hearing device at least comprising a microphone, a speaker, a feedback analysis unit and a signal processing unit, the method comprising: generating a third sound by the speaker based on a first signal; wherein the first signal is generated by the signal processing unit; receiving the third sound by the microphone and generating a feedback signal; determining, by the feedback analysis unit, the feedback path transfer function from the speaker to the microphone of the bone conduction hearing device based on the feedback signal of the microphone and the first signal; obtaining at least one preset feedback path transfer function; comparing the feedback path transfer function with the at least one preset feedback path transfer function; and determining, by the signal processing unit, the state of the bone conduction hearing device according to the comparison result.

The invention relates to a method for operating a hearing device (2), comprising: a receiving unit (4) for receiving speech information and converting the speech information into a speech signal (S); a signal processing unit (12) for signal processing of the speech signal and generating an output signal (A); and an output unit (18) for outputting the output signal to a user of the hearing device, in which the voice information is converted into a voice signal, in which the voice signal is processed by the signal processing unit into the output signal in order to output the output signal to the user of the hearing device, at least one emotion-related feature (F1,..., F18, F1 ',..., F18') is determined from the speech signal and the output signal in each case, the emotion-related features determined from the speech signal and the output signal are compared to each other and a comparison result is determined, and wherein the signal processing unit (12) is set depending on the comparison result.

A system comprising a hearing device and a charging device is disclosed. The charging device is configured for accommodating the hearing device and is further configured for inductively charging the hearing device. The hearing device comprises a rechargeable battery arranged in connection with a receiver coil. The receiver coil is arranged in a hearing device housing. The receiver coil comprises a magnetic core and a metal winding wound around the magnetic core. The charging device comprises at least one transmitter coil arranged in a charging device housing. The transmitter coil comprising the metal winding is configured for charging the hearing device. When the hearing device is accommodated in the charging device, the transmitter coil is arranged to at least partially enclose the receiver coil.

A hearing device and related method is provided, the hearing device comprising an interface, a processor, and a memory, wherein the hearing device is configured to enter a pairing mode for pairing to an accessory device; transmit a pairing message to a contralateral hearing device, the pairing message indicative of the hearing device pairing with the accessory device; and pair the hearing device to the accessory device.

A method of processing sensor data generated in a hearing device is disclosed, the hearing device comprising a BTE housing configured to be worn behind an ear of a user and an ITE housing configured to be at least partially inserted into an ear canal of the ear. The method may include receiving, from a movement sensor included in the BTE housing, BTE housing movement data indicative of movements of the BTE housing; receiving, from an ear canal sensor included in the ITE housing, ear canal sensor data affected by movements of an ear canal wall, characterized by determining a correlation between the BTE housing movement data and at least part of the ear canal sensor data; and separating, based on the correlation, information about movements of the ear canal wall relative to the BTE housing from at least part of the ear canal sensor data.

Presented herein are techniques for measuring an evoked response to stimulation. One or more electrical stimulation signals are delivered to first ear of a recipient via a first hearing device implanted at the first ear of the recipient. One or more evoked potential evoked by the one or more electrical stimulation signals are measured with a second hearing device implanted at a second ear of the recipient.

A hearing device and related methods are disclosed, the hearing device comprising an interface and one or more processors, the one or more processors comprising a first primary machine learning model and a first secondary machine learning model, the first primary machine learning model for provision of a first primary model output based on a first primary model input, the first secondary machine learning model for provision of a first secondary model output based on a first secondary model input, wherein the first secondary model input is based on the first primary model output.

A hearing device configured to be arranged in an ear of a user comprises a sound path component. The sound path component comprises: a cavity arranged at a first end of the hearing device; a vent channel configured to vent the hearing device, the vent channel extending from the cavity to a second end of the hearing device, the vent channel having a first vent end located at the cavity and a second vent end located at the second end of the hearing device; an output transducer opening configured to be connected to an output transducer, the output transducer opening being arranged at the cavity; a first opening arranged at the cavity and configured to be directed towards an ear canal of the user when the hearing device is worn by the user in an intended position in the ear; a second opening arranged at the second end of the hearing device and configured to be directed towards the surroundings of the user when the hearing device is worn by the user in the intended position in the ear. The second opening is located at the second vent end of the vent channel. The cavity, the vent channel, the output transducer opening, the first opening and the second opening are in fluid communication with each other.

The invention relates to a hearing device (2) having a housing (4) and an antenna (6), wherein the housing (4) has a housing cover (8) for wearing in the ear, wherein the antenna (6) is designed for transmitting signals by a wireless connection, wherein the housing cover (8) has an inner side (18), wherein the antenna (6) is inserted into the housing cover (8) and extends along the inner side (18). Furthermore, a corresponding antenna (6) and a method for manufacturing a corresponding hearing device (2) are provided.

The utility model relates to hearing equipment (2) with a radio communication device (20), the radio communication device is provided with an antenna (24) with two feeding points (26), and the feeding points are connected with a control unit (22). The antenna (24) has a first loop (28) extending between two feed points (26) and a second loop (30) extending between two feed points (26).

A hearing device with an optical sensor includes: a light source (212, 300, 304, 308, 402) configured to emit light; a photodetector (214, 404) configured to detect light emitted by the light source after it has passed through tissue of a subject; an audio receiver (116, 202) configured to transmit sound to the subject; and a dome structure (120, 206) configured to conform to the shape of the ear canal when the hearing device is in the subject's ear canal. The output of the light source (212, 300, 304, 308, 402) and the input of the photodetector (214, 404) are separated by the dome structure (120, 206), and the dome structure (120, 206) absorbs and / or reflects at least a portion of the light emitted by the light source.

Presented herein are techniques for improving speech perception for hearing device recipients through the use of phonemic information. For example, in certain embodiments, automatic speech recognition (ASR) is used to enhance the perception of phonemic information by a recipient. Such techniques can, for example, provide improved speech intelligibility in noise for hearing device recipients.

The invention relates to a method (14) for operating a hearing device (2), in which an input signal (20) is generated as a function of ambient sound (18). A first signal component (32) and a second signal component (43) are extracted from the input signal (20), the first signal component (32) corresponding to speech (22) of a user and the second signal component (34) corresponding to speech (24) of another person. A first processed signal (42) is generated from the first signal component (32) and the first amplification factor (40), and a second processed signal (54) is generated from the second signal component (34) and the second amplification factor (52). The two processed signals (42, 54) are combined into an output signal (80). In this case, the second amplification factor (52) is selected as a function of a difference (48) between a level of the first processed signal (42) and a level of the second processed signal (54). The invention also relates to a hearing device (2).

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

The present invention relates to a hearing device comprising a battery module and a method of manufacturing a battery module for a hearing device. The disclosed hearing device (20) comprises a battery module (10). The battery module (10) comprises a battery (2) for powering the hearing device (20), a conductor unit (4) for providing an electrical connection to the battery (2), a conductive adhesive (6) arranged between the battery (2) and the conductor unit (4) for connecting the conductor unit (4) with the battery (2) to form a battery assembly (12), and a coating (8) at least partially arranged around the battery assembly (12) to form the battery module (10).

Disclosed herein are embodiments of methods, in particular performed by at least one hearing device, uses of the method, hearing devices and hearing systems. The method can include determining a reference orientation and / or position, in particular a reference vector uref, of a hearing device; detecting at least one movement and / or acceleration of the hearing device; determining at least one deviating orientation and / or position, in particular at least one deviation vector vd, of the hearing device based on the detected at least one movement and / or acceleration; and determining at least one deviation, in particular at least one deviation angle θ, between the reference orientation and / or position, in particular the reference vector uref, and the at least one deviating orientation and / or position, in particular the at least one deviation vector vd.

A hearing device and related methods are disclosed, the hearing device comprising an interface and one or more processors, the one or more processors comprising a first alpha machine learning model and a first beta machine learning model, the first alpha machine learning model configured to provide a first alpha model output based on a first alpha model input, the first beta machine learning model configured to provide a first beta model output based on a first beta model input, wherein the first beta model input is based on the first alpha model output.

A hearing device includes input transducers providing a transducer input, the input transducers comprising a first input transducer for provision of a first transducer input signal, wherein the transducer input is based on the first transducer input signal; a processor configured to provide an electrical output signal based on the transducer input; and a receiver to provide an audio output signal based on the electrical output signal; wherein the processor is configured to process the transducer input for provision of a first input and a second input; apply a neural network to the second input for provision of a second output that is a prediction of future noise; provide a noise estimate based on the second output; and subtract the noise estimate from a magnitude of the first input for provision of a first output, wherein the electrical output signal is based on the first output.