A speaker of a hearing instrument generates a sound that includes a range of frequencies. Furthermore, a microphone of the hearing instrument measures an acoustic response to the sound. A processing system classifies, based on the acoustic response to the sound, a depth of insertion of an in-ear assembly of the hearing instrument into an ear canal of a user. Additionally, the processing system generates an indication based on the depth of insertion of the in-ear assembly of the hearing instrument into the ear canal of the user.

The present application relates to a spectro-temporal modulation (STM) detection test unit comprising a stimulus generation unit comprising at least one output unit configured to present a first probe stimulus to one ear of a user and to present a second probe stimulus to another ear of the user, an analysis unit configured to determine, in response to presenting the probe stimuli, a modulation-detection threshold of the user, where the stimulus generation unit being configured to generate each of the first probe stimulus and the second probe stimulus based on a carrier signal with a spectro-temporal modulation added, and where the spectro-temporal modulation of the first probe stimulus is different from the spectro-temporal modulation of the second probe stimulus. The present application further relates to a system and a method.

A method for fitting a hearing instrument comprises obtaining sensor data from a plurality of sensors belonging to a plurality of sensor types; applying a machine learned (ML) model to determine, based on the sensor data, an applicable fitting category of the hearing instrument from among a plurality of predefined fitting categories, wherein the plurality of predefined fitting categories includes a fitting category corresponding to a correct way of wearing the hearing instrument and a fitting category corresponding to an incorrect way of wearing the hearing instrument; and generating an indication based on the applicable fitting category of the hearing instrument.

A method for providing an auditory program according to an embodiment of the present disclosure may include: decoding, by a processor, first audiovisual data including a target sound to be aurally perceived by a user and an ambient sound reflecting a real-life environment, and playing back the first audiovisual data through a display and a speaker; receiving, by the processor, the user's input based on the result of aural perception of the target sound from the user through a user interface; and changing, by the processor, at least one of parameters of the audiovisual data, based on the user's input, and playing back the audiovisual data through the speaker or the display, or determining a fitting parameter of an assistive listening device, based on the user's input.

A method for adjusting a hearing device (12) adapted to be worn behind an ear (28) comprises: determining a cymba angle (54) between a cartilage (50) above the cymba (46) of the ear (28) and a viewing direction (38) of the user; estimating a tilt angle (39) of the hearing device (12) with respect to the viewing direction (38) from the cymba angle (54); and adjusting a beam former direction (37) of a beam former (34) of the hearing device (12), such that the beam former direction (37) is aligned with the viewing direction (38).

An accident detector includes a processor, one or more sensors operatively coupled to the processor where the one or more sensors acquire at the ear, on the ear or within an ear canal, one or more of acceleration, blood oxygen saturation, blood pressure or heart-rate, and the one or more sensors configured to monitor a biological state or a physical motion or both for an event. The accident detection can be a detection of a discrepancy when compared with a set of reference data by the one or more sensors.

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.

A hearing system comprises a) a multitude of M of microphones providing M corresponding electric input signals x.sub.m(n), m=1, ..., M, and n representing time, b) a processor connected to said multitude of microphones and providing a processed signal in dependence thereof, c) an output unit for providing an output signal in dependence of said processed signal, and d) a database (Θ) comprising a dictionary (Δ.sub.pd) of previously determined acoustic transfer function vectors (ATF.sub.pd). The processor is configured A) to determine a constrained estimate of a acoustic transfer function vector (ATF.sub.pd,.sub.cur) in dependence of said M electric input signals and said dictionary (Δ.sub.pd), B) to determine an unconstrained estimate of a current acoustic transfer function vector (ATF.sub.uc,.sub.cur) in dependence of said M electric input signals, and C) to determine a resulting acoustic transfer function vector (ATF*) for a user of the hearing system in dependence thereof and of a confidence measure related to said electric input signals. A method of operating a hearing device is also disclosed. Thereby an improved noise reduction system for a hearing aid or headset may be provided.

Embodiments herein relate to systems, devices and methods for fitting hearing assistance devices. In a first aspect, a method of fitting a hearing assistance device is included, the method including providing an audio sample to a hearing assistance device wearer, receiving input from the hearing assistance device wearer regarding a preferred sound volume or perceived loudness, receiving input from the hearing assistance device wearer with the external device regarding a bass/treble balance, and determining a maximum power output of the hearing assistance device that does not exceed a loudness discomfort level (LDL). Other embodiments are also included herein.

A method for personalized sound modification, with a personal sound system having a microphone; a user device which includes a processor, computer readable medium, and optionally the microphone; and a sound output device; is provided. The method includes: providing a user hearing profile including lower and upper limits of the user's auditory dynamic range at a plurality of sound frequencies, prepared with the personal sound system; receiving a sound signal from the microphone; optionally separating the sound signal into a plurality of frequency channels; amplifying or attenuating sound frequencies in the sound signal which have a volume level outside the lower or upper limits of the user's auditory dynamic range, respectively, and forming a modified sound signal with which the sound output device will produce sounds within the user's auditory dynamic range; and providing the modified sound signal to the sound output device.