Abstract:
The present disclosure relates to hearing devices including an image capture device. Features of sound processing may be based on analysis of images from the image capture device.
Abstract:
According to an embodiment, a method for automatically customizing a software application at a remote control adapted to control a hearing instrument is disclosed. The method includes receiving, at the remote control, a sound sequence and interpreting a metadata comprised in the sound sequence. The sound sequence is delivered by a speaker of the hearing instrument. thereafter, the software application available at the remote control is customized in accordance with the interpreted metadata such that the software application is adapted to the hearing instrument.
Abstract:
A hearing device comprising a first and a second input sound transducers, a processing unit, and an output sound transducer. The first transducer is configured to be arranged in an ear canal or in the ear of the user, to receive acoustical sound signals from the environment and to generate first electrical acoustic signals from the received acoustical sound signals. The second transducer is configured to be arranged behind a pinna or on, behind or at the ear of the user, to receive acoustical sound signals from the environment and to generate second electrical acoustic signals from the received acoustical sound signals. The processing unit is configured to process the first and second electrical acoustic signals. The output sound transducer is configured to be arranged in the ear canal of the user and to generate acoustical output sound signals from electrical acoustic signals.
Abstract:
The application relates to hearing assistance system (use and method) for calibrating a noise reduction system of a hearing assistance device. The system comprises a hearing assistance device, and an auxiliary device. The hearing assistance device comprises a multitude of input units, and a multi-channel beamformer filtering unit configured to determine filter weights for a beamformed signal. The system further comprises a user interface for activating a calibration mode. The auxiliary device comprises an output transducer for converting an electric calibration signal to an acoustic calibration sound signal. The system is configured to estimate a look vector for a target signal originating from a target signal source located at a specific location relative to the user based on the acoustic calibration sound signal.
Abstract:
A hearing aid device is disclosed. The hearing aid device comprises means to improve, augment and/or protect the hearing capability of a user by receiving acoustic signals from the surroundings of the user, generating corresponding audio signals, possibly modifying the audio signals and providing the possibly modified audio signals as audible signals to at least one of the user's ears. The hearing aid device comprises a sensor member for detecting the movement and/or acceleration and/or orientation (or spatial position) of the hearing aid device. The hearing aid device comprises at least two hearing aid microphones and a control unit for determining the position or a deviation from an intended position of the hearing aid device or hearing aid microphones. The hearing aid device is configured to compensate for a possible dislocation of the hearing aid microphones.
Abstract:
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.
Abstract:
A hearing device comprises an input transducer comprising a microphone for providing an electric input signal representative of sound in the environment of the hearing device, a pre-processor for processing electric input signal and providing a multitude of feature vectors, each being representative of a time segment thereof, a neural network processor adapted to implement a neural network for implementing a detector configured to provide an output indicative of a characteristic property of the at least one electric input signal, the neural network being configured to receive said multitude of feature vectors as input vectors and to provide corresponding output vectors representative of said output of said detector in dependence of said input vectors. The hearing device further comprises a transceiver comprising a transmitter and a receiver for establishing a communication link to another part or device or server, at least in a particular adaptation-mode of operation, and a selector for—in said particular adaptation-mode of operation—routing said feature vectors to said transmitter for transmission to said another part or device or server, and—in a normal mode of operation-to route said feature vectors to said neural network processor for use as inputs to said neural network, a neural network controller connected to said neural network processor for—in said particular adaptation—mode of operation-receiving optimized node parameters, and to apply said optimized node parameters to said nodes of said neural network to thereby implement an optimized neural network in said neural network processor, wherein the optimized node parameters have been selected among a multitude of sets of node parameters for respective candidate neural networks according to a predefined criterion in dependence of said feature vectors. A method of selecting optimized parameters for a neural network for use in a portable hearing device is further disclosed. The invention may e.g. be used in hearing aids or headsets, or similar, e.g. wearable, devices.
Abstract:
A binaural hearing aid system includes first and second hearing aids configured to be worn by a user at or in respective first and second ears of the user, each of the first and second hearing aids including: at least one input transducer configured to pick up a sound at the at least one input transducer and to convert the sound to at least one electric input signal representative of the sound, the sound at the at least one input transducer including a mixture of a target signal and noise; a controller for evaluating the sound at the at least one input transducer and providing a control signal indicative of a property of the sound; a transceiver configured to establish a communication link between the first and second hearing aids allowing the exchange of the control signal between the first and second hearing aids; a transmitter for establishing an audio link for transmitting the at least one electric input signal, or a processed version thereof, to another device. The controller is configured to: transmit the locally provided control signal to, and receive a corresponding remotely provided control signal from the opposite hearing aid via the communication link, and to compare the locally provided and the remotely provided control signals and to provide a comparison control signal in dependence thereof, and to transmit the at least one electric input signal, or a processed version thereof, to the another device via the audio link in dependence of the comparison control signal.
Abstract:
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.
Abstract:
Disclosed herein are embodiments of a method performed by a hearing aid and a hearing aid including one or more processors, a memory, two or more microphones, and an output transducer. The hearing aid is configured to generate a first processed signal (y) based on input signals from the two or more microphones and a steering value, wherein a target direction is associated with the steering value. The steering value can be changed depending on certain criterion.