A hearing aid comprises a BTE-part adapted for being located behind an ear (ear) of a user, and comprising a) a multitude M of microphones, which—when located behind the ear of the user—are characterized by respective transfer functions, H.sub.BTEi(θ, φ, r, k), representative of propagation of sound from sound sources S to the respective microphones b) a memory unit comprising complex, frequency dependent constants W.sub.i(k)′, i=1, . . . , M, c) a beamformer filtering unit for providing a beamformed signal Y as a weighted combination of the microphone signals using said complex, frequency dependent constants The frequency dependent constants are determined to provide a resulting transfer function

H.sub.pinna(θ, φ, r, k)=Σ.sub.i=1.sup.M W.sub.i(k).Math.H.sub.BTEi(θ, φ, r, k),

so that a difference between the resulting transfer function H.sub.pinna(θ, φ, r, k) and a transfer function H.sub.ITE(θ, φ, r, k) of a microphone located close to or in the ear canal fulfils a predefined criterion.

A hearing aid comprises a) first and second microphones b) an adaptive beamformer filtering unit comprising, b1) a first and second memories comprising a first and second sets of complex frequency dependent weighting parameters representing a first and second beam patterns, where said first and second sets of weighting parameters are predetermined initial values or values updated during operation of the hearing aid, b3) an adaptive beamformer processing unit providing an adaptation parameter β.sub.opt(k) representing an adaptive beam pattern configured to attenuate unwanted noise under the constraint that sound from a target direction is essentially unaltered, b4) a third memory comprising a fixed adaptation parameter β.sub.fix(k) representing a third, fixed beam pattern, b5) a mixing unit providing a resulting complex, frequency dependent adaptation parameter β.sub.mix(k) as a combination of said fixed and adaptively determined frequency dependent adaptation parameters β.sub.fix(k) and β.sub.opt(k), respectively, and b6) a resulting beamformer (Y) for providing a resulting beamformed signal Y.sub.BF based on first and second microphone signals, said first and second sets of complex frequency dependent weighting parameters, and said resulting complex, frequency dependent adaptation parameter β.sub.mix(k).

The application relates to a filter bank for an audio processing device, e.g. a hearing aid. The filter bank comprises an analysis filter bank comprising a plurality of M first filters h.sub.m(n), where m=0, 1, . . . , M−1 is a frequency band index, and whose impulse responses are modulated from a first linear phase prototype filter h(n) with a first predetermined modulation sequence ms1, n being a time index, the first prototype filter h(n) having a first filter length of L.sub.h; a synthesis filter bank comprising a plurality of M second filters g.sub.m(n), m=0, 1, . . . , M−1, whose impulse responses are modulated from a second linear phase prototype filter g(n) with a second predetermined modulation sequence ms2, the second prototype filter g(n) having a second filter length of L.sub.g; the plurality of first and second filters being arranged in pairs, each pair forming a frequency channel. the first modulation sequence is a complex or real function of time n, frequency band index m, and a first prototype filter delay τ.sub.h, the second modulation sequence is a complex or real function of time n, frequency band index m, and a second prototype filter delay τ.sub.g, the first filter length L.sub.h and the second filter length L.sub.g are both uneven, and the first prototype filter delay τ.sub.h is equal to (L.sub.h−1)/2 and second prototype filter delay τ.sub.g, is equal to (L.sub.g−1)/2, and the first and second prototype filter delay τ.sub.h and τ.sub.g, are constants of the analysis filter bank and the synthesis filter bank, respectively.

A hearing system performs nonlinear processing of signals received from a plurality of microphones using a neural network to enhance a target signal in a noisy environment. In various embodiments, the neural network can be trained to improve a signal-to-noise ratio without causing substantial distortion of the target signal. An example of the target sound includes speech, and the neural network is used to improve speech intelligibility.

Techniques used to selectively amplify audio signals are described herein in connection with audio amplification electronic devices, such as hearing aids, including over-the-ear hearing aids. A device and its operation are described to facilitate setting low and high tone/volume controls separately, using at least two selection mechanisms. In one aspect, a first selection mechanism includes a pitch frequency control rocker switch and the second selection mechanism includes a bass frequency control rocker switch disposed separately. In one aspect, the bass frequency control rocker switch causes a processor to bias the frequency response of the sound amplifier for frequencies below 1 kHz. In another aspect, the pitch frequency control rocker switch causes a processor to bias the frequency response of the hearing for frequencies above 1 kHz. In another aspect, the selection mechanism involves the separate attenuation of treble and bass adjustments in response to a user selection of a rocker switch setting for each adjustment.

A method of personalizing one or more parameters of a processing algorithm for use in a hearing aid of a specific user comprises Performing a predictive test for estimating a hearing ability of the user when listening to signals having different characteristics; Analyzing results of said predictive test for said user and providing a hearing ability measure for said user; Selecting a specific processing algorithm of said hearing aid, Selecting a cost-benefit function related to said user's hearing ability in dependence of said different characteristics for said algorithm; and Determining, for said user, one or more personalized parameters of said processing algorithm in dependence of said hearing ability measure and said cost-benefit function.

The present invention relates to a system for suppressing transient interference from a signal. The system includes a modeling system, wherein the modeling system constructs a model of transient interference from a first signal, and a filtering system, wherein the filtering system suppresses transient interference from a second signal by applying the model to the second signal.

Embodiments of the present disclosure set forth a computer-implemented method comprising determining a first direction of interest associated with a user, receiving a set of audio signals associated with the first direction of interest, determining a first dominant frequency band within the set of audio signals, modifying a first portion of the set of audio signals corresponding to the first dominant frequency band, and outputting the modified set of audio signals.

A hearing aid includes a feedback control system for handling external feedback from an output transducer to an input transducer. The feedback control system includes an open loop gain estimator for providing an instant open loop gain estimate; an adaptive filter configured to provide a current estimate of the feedback path transfer function; a feedback change estimator configured to provide an instant estimate of the feedback path transfer function in dependence of the forward path transfer function, the instant open loop gain estimate; and an adaptive filter controller for providing an update transfer function estimate for the adaptive filter in dependence of the instant estimate of the feedback path transfer function. The hearing aid is configured to use the update transfer function estimate in the adaptive filter to update the current estimate of the feedback path transfer function. A method of detecting a sudden change in a feedback/echo path is further disclosed.

The present invention relates to recipient customization of a bone conducting hearing device. Customization of the bone conducting hearing device may include attaching the bone conducting hearing device to a recipient, establishing communication between the hearing device and an external device, generating at least one control setting with the external device, and storing the at least one control setting in a memory device in the hearing device.