To address the technical problem of varying gain applied to different hearing impaired (HI) patients, a technical solution described herein includes application of a patient-specific noise reduction algorithm based on a patient-specific signal-to-noise ratio (SNR) loss function. HI patients vary in their ability to extract information in a given signal-to-noise ratio (SNR) environment. However, noise reduction algorithms often include a single noise reduction function for all SNR loss functions. For a HI patient with significant SNR-loss, they will receive little noise reduction in SNR conditions where the patient gains no benefit from the sound. Technical solutions described herein includes determining a HI patient's ability to extract information for various SNR values, and then using specific NR algorithm attenuation for specific SNR values according to the HI patient's determined ability to extract information.

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.

A hearing device, e.g. a hearing aid, is configured to be arranged at least partly on a user’s head or at least partly implanted in a user’s head. The hearing device comprises a) at least one input transducer for picking up an input sound signal from the environment and providing at least one electric input signal representing said input sound signal; b) a signal processor connected to the at least one input transducer, the signal processor being configured to analyze the electric input signal and to provide a transmit control signal in dependence thereof; c) a memory buffer, e.g. a cyclic buffer, for storing a current time segment of a certain duration of said at least one electric input signal, or a processed version thereof; and a transmitter for transmitting at least a part of said time segment, or a processed version thereof, to an external device in dependence of said transmit control signal.

An audio system for user hearing assessment includes one or more audio capture devices, and processing circuitry. The one or more audio capture devices are configured to capture audio of a conversation of a user and convert the audio to audio signals. The processing circuitry is configured to use the audio signals to identify multiple conditions associated with user hearing difficulty. The conditions include any of words, phrases, frequencies, or phonemes, and environmental audio conditions that are followed by an indication of user hearing difficulty. The processing circuitry is configured to generate a hearing profile for the user based on the identified conditions associated with user hearing difficulty. The processing circuitry is configured to adjust an operation of an audio output device using the hearing profile to reduce a frequency of user hearing difficulty if the user requires audio enhancement.

A hearing device, e.g. a hearing aid, configured to be worn by a user, comprises a) two or more input transducers (e.g. microphones) wherein said two or more input transducers during use of the hearing device are arranged with a distance between them; b) a directional system comprising a directional algorithm configured to provide a directional pattern in dependence of said distance. The hearing device is configured to estimate a current value of said distance, or an equivalent acoustic delay, or beamformer weights of said directional system, thereby the directional performance can be optimized to the individual user.

A computing system comprising one or more electronic computing devices receives data from a hearing-assistance device. The computing system determines, based on the data received from the hearing-assistance device, a cognitive benefit measure for a wearer of the hearing-assistance device. The cognitive benefit measure being an indication of a change of a cognitive benefit of the wearer of the hearing-assistance device attributable to use of the hearing-assistance device by the wearer of the hearing-assistance device. The computing device outputs an indication of the cognitive benefit measure.

Disclosed herein, among other things, are systems and methods for spatially differentiated noise reduction for hearing device applications. A method includes sensing sound signals with a hearing device. A front-facing directional beam and a rear-facing directional beam are produced using the sensed sound signals, and the front-facing directional beam and the rear-facing directional beam are combined to obtain an output directional beam. The front-facing directional beam or the output directional beam is compared to the rear-facing directional beam to determine a front-rear differential. Responsive to a determination that the front-rear differential indicates that the rear-facing directional beam is dominant, the amount of noise reduction of the output directional beam is increased. Responsive to a determination that the front-rear differential indicates that the rear-facing directional beam is not dominant, an amount of noise reduction of the output directional beam is reduced.

Disclosed is a multi-mode beam former, comprising a device for receiving a multi-mode input signal, and a device for constructing an optimization model and solving the optimization model to obtain a beam-forming weight coefficient for performing linear or non-linear combination on the multi-mode input signal. The optimization model comprises an optimization formula for obtaining the beam-forming weight coefficient. The optimization formula comprises: establishing an association between at least one electroencephalogram signal and a beam forming output, and optimizing the association to construct the beam-forming weight coefficient associated with the at least one electroencephalogram signal.

Techniques described herein include generating first audio signals representative of sounds emanating from an environment and captured with an array of microphones disposed within an ear-mountable listing device. A rotational position of the array of microphones is determined. A rotational correction is applied to the first audio signals to generate a second audio signal. The rotational correction is based at least in part upon the determined rotational position. A speaker of the ear-mountable listening device is driven with the second audio signal to output audio into an ear.

A method for compensating hearing deficiencies with a hearing device includes receiving a sound signal; attenuating an output sound pressure level of the sound signal dependent on an input sound pressure level of the sound signal; and outputting the attenuated sound signal with a loudspeaker of the hearing device; wherein the output sound pressure level is attenuated, when the input sound pressure level is above an upper speech recognition kneepoint of a user, which upper speech recognition kneepoint is stored in the hearing device and which has been selected dependent on a sound pressure level dependent speech recognition ability of the user.