Oticon A/s

Poul Hoang

Michael Syskind Pedersen

Jesper Bruun Jensen

Jan Mark De Haan

Svend Feldt

Gary Jones

Stig Petri

Karsten Bonke

Sebastien Curdy-neves

Robert Rehr

Mohammad El-sayed

Michael Noes Gätke

A hearing device includes a) a multitude of input transducers providing a corresponding multitude of electric input signals; and b) a processor for providing a processed signal in dependence of the electric input signals. The processor includes b1) a beamformer for providing a spatially filtered signal in dependence of electric input signals and beamformer filter coefficients determined in dependence of a fixed steering vector including as elements respective acoustic transfer functions from a target signal source, to each of said multitude of input transducers; and b2) a target adaptation module connected to the input transducers and to at least one beamformer, the target adaptation module being configured to provide compensation signals to compensate the electric input signals so that they match the fixed steering vector.

Hearing device comprising a low complexity beamformer

A hearing device adapted for being located at or in an ear of a user, or for being fully or partially implanted in the head of a user comprises a) an input unit for providing at least one electric input signal representing sound in an environment of the user, said electric input signal comprising a target speech signal from a target sound source and additional signal components, termed noise signal components, from one or more other sound sources, b) a noise reduction system for providing an estimate of said target speech signal, wherein said noise signal components are at least partially attenuated, and c) an own voice detector for repeatedly estimating whether or not, or with what probability, said at least one electric input signal, or a signal derived therefrom, comprises speech originating from the voice of the user. The noise signal components are identified during time segments wherein the own voice detector indicates that the at least one electric input signal, or a signal derived therefrom, originates from the voice of the user, or originates from the voice of the user with a probability above an own voice presence probability (OVPP) threshold value. A method of operating a hearing device is further disclosed.

Hearing device comprising a noise reduction system

A hearing aid includes an input providing an input signal representing sound in an environment, the input signal including no speech signal, or one or more speech signals from one or more speech sound sources and additional signal components, termed noise signal, from one or more other sound sources, an own voice detector, a voice activity detector, and a talker extraction unit to determine and/or receive one or more speech signals as separated one or more speech signals from speech sound sources other than the hearing aid user and to detect the speech signal originating from the voice of the user. The talker extraction unit provides separate signals, each including, or indicating presence of, one of the one or more speech signals. A noise reduction system determines speech overlap and/or gap between the speech signal originating from the user's voice and each of the separated one or more speech signals.

Hearing aid determining talkers of interest

A hearing aid microphone system includes M microphones providing corresponding electric input signals. Environmental sound at a given microphone includes a target sound signal propagated via an acoustic propagation channel from a direction to or a location of a target sound source to the microphone, and possible additive noise signals. The acoustic propagation channel is modeled. The hearing aid system includes: a processor connected to the microphones, and a database Θ having a multitude of dictionaries Δ, p=1, . . . , P, where p is a person index, of vectors, termed ATF-vectors, whose elements ATF, m=, . . . , M, are frequency dependent acoustic transfer functions representing direction- or location-dependent, and frequency dependent propagation of sound. The processor is configured to, at least in a learning mode of operation, determine personalized ATF-vectors based on the multitude of dictionaries Δ, the electric input signals, and the model of the acoustic propagation channels.

Hearing aid system comprising a database of acoustic transfer functions

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Smørum, Denmark

Poul Hoang