Abstract:
Disclosed herein are embodiments of a hearing device including a multitude of input transducers providing a corresponding multitude of electric input signals, a noise reduction system comprising first and second beamformer filters configured to provide first and second beamformed signals, respectively, first and second noise reduction controllers configured to receive said multitude of electric input signals, and said first and second beamformed signals, respectively, and to provide respective first and second noise reduced signals, according to first and second adaptive selection schemes, respectively.
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.
Abstract:
A hearing aid comprises 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).
Abstract:
Disclosed herein are embodiments of a hearing aid adapted to be worn at an ear of a user including one or more microphones and a processor configured to apply one or more processing algorithms. The processor can include a feedback control system for estimating a feedback path. The processor can be configured to estimate a speaker unit size in dependence of an estimated feedback path, wherein the feedback path is estimated while said hearing aid is located in a specific position away from the user's head. A method of operating a hearing aid is further disclosed.
Abstract:
The application relates to an audio processing system and a method of processing a noisy (e.g. reverberant) signal comprising first (v) and optionally second (w) noise signal components and a target signal component (x), the method comprising a) Providing or receiving a time-frequency representation Yi(k,m) of a noisy audio signal yi at an ith input unit, i=1, 2, . . . , M, where M≧2; b) Providing (e.g. predefined spatial) characteristics of said target signal component and said noise signal component(s); and c) Estimating spectral variances or scaled versions thereof λV, λX of said first noise signal component v (representing reverberation) and said target signal component x, respectively, said estimates of λV and λX being jointly optimal in maximum likelihood sense, based on the statistical assumptions that a) the time-frequency representations Yi(k,m), Xi(k,m), and Vi(k,m) (and Wi(k,m)) of respective signals yi(n), and signal components xi and vi (and wi) are zero-mean, complex-valued Gaussian distributed, b) that each of them are statistically independent across time m and frequency k, and c) that Xi(k,m) and Vi(k,m) (and Wi(k,m)) are uncorrelated. An advantage of the invention is that it provides the basis for an improved intelligibility of an input speech signal. The invention may e.g. be used for hearing assistance devices, e.g. hearing aids.