A system and method of determining a filter to cancel feedback signals from input signals in a hearing assistance device includes determining feedback signals for a plurality of feedback paths associated with the device, and determining a model of the plurality of feedback paths, with the model having an invariant portion and a time varying portion. A probable structure of the invariant portion is determined to generate a structural constraint to constrain the plurality of feedback paths, and probability distributions to impose the structural constraint on the invariant portion are determined. During an iterative process, the invariant portion is iteratively determined using the determined probability distributions and the feedback path measurements. A measurement noise variance representative of model mismatch is updated, for each iteration, to reduce a probability of a non-desirable determination of an invariant filter, and the invariant filter is determined in response to a criterion for ending the iterative process being satisfied.

A method and system or device such as a hearing aid are provided for processing audio signals. In accordance with the method, an audio signal is received and divided into a plurality of frequency sub-bands. For each of the frequency sub-band signals, the signal is further divided into overlapping temporal frames. Each of the temporal frames are windowed. Frequency warping is performed on each of the windowed frames. Overlap-and-add is performed on the frequency warped frames. The frequency warped sub-bands are combined into a full band to provide a frequency warped signal.

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 method of estimating a feedback path of a hearing aid (200). The invention also relates to a hearing aid (200) adapted to carry out said method.

A hearing aid is configured to be worn in and/or at an ear of a user, and comprises a) an input transducer for converting an input sound to an electric input signal representing sound, h) an output transducer for converting a processed electric output signal to an output sound, c) a signal processor operationally coupled to the input and output transducers and configured to apply a forward gain to the electric input signal or a signal originating therefrom, wherein the input transducer, the signal processor and the output transducer forming part of a forward path of the hearing aid. The hearing aid further comprises d) a feedback control system for compensating for acoustic or mechanical feedback of an external feedback path from the output transducer to the input transducer, wherein the feedback control system comprises i) a feedback estimation unit for providing a feedback estimate signal of said external feedback path, ii) a combination unit located in the forward path for combining the electric input signal or a signal derived therefrom and the feedback signal detected by said estimation unit, to provide a resulting feedback corrected signal, iii) a correlation detection unit configured to determine a correlation measure between said feedback corrected signal and said output signal, said correlation detection unit further configured to provide a processed version of said correlation measure.

An input signal is provided with a low microphone noise in a hearing apparatus. The microphone noise in the input signal of the hearing apparatus is reduced, by the input signal being filtered by a Wiener filter, if a noise power determined at the input signal is smaller than a predetermined limit value. The Wiener filter is however deactivated, if the noise power is greater than the limit value or equal to the limit value.

The present disclosure relates to tracking of acoustic feedback events of a hearing assistance device, such as a hearing aid. Information about the acoustic feedback events is stored for analysis. Such information is useful for programming acoustic feedback cancellers and other parameters of a hearing assistance device.

The present invention is in the field of an intra ear canal hearing aid, a pair of said hearing aids and use of said hearing aids. Such a hearing aid is designed to improve or support hearing. It typically relates to an electroacoustic device that is capable of transforming sound, thereby reducing noise and typically amplifying certain parts of the audio frequency spectrum. In addition such as hearing aid may improve directional perception of sound.

A hearing device comprises an ITE-part adapted for being located at or in an ear canal of the user comprising a housing comprising a seal towards walls or the ear canal, the ITE part comprising at least two microphones located outside the seal and facing the environment, and at least one microphone located inside the seal and facing the ear drum. The hearing device may comprise a beamformer filter connected to said at least three microphones comprising a first beamformer for spatial filtering said sound in the environment based on input signals from said at least two microphones facing the environment, and a second beamformer for spatial filtering sound reflected from the ear drum based on said at least one electric input signal from said at least one microphone facing the ear drum and at least one of said input signals from said at least two microphones facing the environment.

With regards to a hearing assistive device, a user's speech can be picked up by the microphone and feed through the speaker causing an acoustic feedback effect. The user may have to constantly adjust the volume of the hearing assistive device to achieve a more comfortable volume based on where the speech is coming from. Furthermore, the when the hearing assistive device experiences feedback, the amplification of the feedback can cause damage to the user's hearing. Therefore, mitigating the acoustic feedback effect of assistive hearing devices can generate a more efficient and comfortable hearing device. The acoustic feedback can be mitigated by leveraging a dynamic range controller and a howling detector which comprises a user interface and a status indicator.