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公开(公告)号:US20220400349A1
公开(公告)日:2022-12-15
申请号:US17840172
申请日:2022-06-14
Applicant: Oticon A/S
Inventor: Jesper JENSEN , Asger Heidemann ANDERSEN
Abstract: A hearing device, e.g. a hearing aid, comprises a) an input unit configured to provide at least one time-variant electric input signal representing sound, the at least one electric input signal comprising target signal components and optionally noise signal components, the target signal components originating from a target sound source; b) a signal processing unit for processing the at least one electric input signal and providing a processed signal; c) an output unit for creating output stimuli configured to be perceivable by the user as sound based on the processed signal from the signal processing unit; d) a speech presence probability prediction unit for repeatedly providing a measure of a predicted speech presence probability of the at least one electric input signal, or of a signal originating therefrom; and e) a speech intelligibility prediction unit for repeatedly providing a current measure of a predicted speech intelligibility of the at least one electric input signal, or of a signal originating therefrom. The speech intelligibility prediction unit is configured to determine said current measure of the predicted speech intelligibility in dependence of said measure of the predicted speech presence probability. A method of operating a hearing device is further disclosed. The invention may e.g. be used in hearing aids, headsets, earpieces (ear buds), etc.
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62.
公开(公告)号:US20220232331A1
公开(公告)日:2022-07-21
申请号:US17580493
申请日:2022-01-20
Applicant: Oticon A/S
Inventor: Zuzana JELCICOVÁ , Rasmus JONES , David Thorn BLIX , Michael Syskind PEDERSEN , Jesper JENSEN , Asger Heidemann ANDERSEN
IPC: H04R25/00
Abstract: A hearing device, e.g. a hearing aid or a headset, configured to be worn by a comprises an input unit for providing at least one electric input signal in a time-frequency representation; and a signal processor comprising a target signal estimator for providing an estimate of the target signal; a noise estimator for providing an estimate of the noise; and a gain estimator for providing respective gain values in dependence of said target signal estimate and said noise estimate. The gain estimator comprises a trained neural network, wherein the outputs of the neural network comprise real or complex valued gains, or separate real valued gains and real valued phases. The signal processor is configured—at a given time instance t—to calculate changes Δx(i,t)=x(i,t)−{circumflex over (x)}(i,t−1), and Δh(j,t−1)=h(j,t−1)−ĥ(j,t−2) to an input vector x(t) and to the hidden state vector h(t−1), respectively, from one time instance, t-1, to the next, t, and where {circumflex over (x)}(i,t−1) and ĥ(j,t−2) are estimated values of x(i,t−1) and h(j,t−2), respectively, where indices i, j refers to the ith input neuron and the jth neuron of the hidden state, respectively, where 1≤i≤Nch,x and 1≤j≤Nch,oh, wherein Nch,x and Nch,oh is the number of processing channels of the input vector x and the hidden state vector h, respectively, and wherein the signal processor is further configured to provide that the number of updated channels among said Nch,x and said Nch,oh processing channels of the modified gated recurrent unit for said input vector x(t) and said hidden state vector h(t−1), respectively, at said given time instance t is limited to a number of peak values Np,x, and Np,oh, respectively, where Np,x is smaller than Nch,x, and Np,oh, is smaller than Nch,oh.
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公开(公告)号:US20220124444A1
公开(公告)日:2022-04-21
申请号:US17562612
申请日:2021-12-27
Applicant: Oticon A/S
Inventor: Asger Heidemann ANDERSEN , Jesper JENSEN , Michael Syskind PEDERSEN , Nels Hede ROHDE , Anders Brødløs OLSEN , Michael Smed KRISTENSEN , Thomas BENTSEN , Andreas Thelander BERTELSEN
IPC: H04R25/00
Abstract: A hearing device, e.g. a hearing aid, is configured to be worn by a user at or in an ear or to be fully or partially implanted in the head at an ear of the user. The hearing device comprises a) an input unit for providing at least one electric input signal in a time frequency representation k, m, where k and m are frequency and time indices, respectively, and k represents a frequency channel, the at least one electric input signal being representative of sound and comprising target signal components and noise components; and b) a signal processor comprising b1) a target signal estimator for providing an estimate of the target signal; b2) a noise estimator for providing an estimate of the noise; b3) a gain estimator for providing respective gain values in said time frequency representation in dependence of said target signal estimate and said noise estimate, wherein said gain estimator comprises a neural network, wherein the weights of the neural network have been trained with a plurality of training signals, and wherein the outputs of the neural network comprise real or complex valued gains, or separate real valued gains and real valued phases. The invention may e.g. be used in audio devices, such as hearing aids, headsets, mobile telephones, etc., operating in noisy acoustic environments.
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公开(公告)号:US20210352415A1
公开(公告)日:2021-11-11
申请号:US17380864
申请日:2021-07-20
Applicant: Oticon A/S
Inventor: Jesper JENSEN
IPC: H04R25/00
Abstract: A hearing device, e.g. a hearing aid, comprises a) a multitude of input units, each providing an electric input signal representing sound in the environment of the user in a time-frequency representation, wherein the sound is a mixture of speech and additive noise or other distortions, e.g. reverberation, b) a multitude of beamformer filtering units, each being configured to receive at least two, e.g. all, of said multitude of electric input signals, each of said multitude of beamformer filtering units being configured to provide a beamformed signal representative of the sound in a different one of a multitude of spatial segments, e.g. spatial cells, around the user, c) a multitude of speech probability estimators each configured to receive the beamformed signal for a particular spatial segment and to estimate a probability that said particular spatial segment contains speech at a given point in time and frequency, wherein at least one, e.g. all, of the multitude of speech probability estimators is; are implemented as a trained neural network, e.g. a deep neural network. The invention may e.g. be used in hearing aids or communication devices, such as headsets, or telephones, or speaker phones.
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65.
公开(公告)号:US20210058713A1
公开(公告)日:2021-02-25
申请号:US17090448
申请日:2020-11-05
Applicant: Oticon A/S
Inventor: Jesper JENSEN , Andreas Thelander BERTELSEN , Michael Syskind PEDERSEN
IPC: H04R25/00
Abstract: A hearing aid includes a) at least one input unit for providing a time-frequency representation Y(k,n) of an electric input signal representing sound consisting of target speech and noise signal components, where k and n are frequency band and time frame indices, respectively, b) a noise reduction system configured to b1) determine an a posteriori signal to noise ratio estimate γ(k,n) of the electric input signal, and to b2) determine an a priori signal to noise signal ratio estimate ζ(k,n) of the electric input signal from the a posteriori signal to noise ratio estimate γ(k,n) based on a recursive algorithm providing non-linear smoothing. The a posteriori signal to noise ratio estimate of said electric input signal is provided as a mixture of first and second different a posteriori signal to noise ratio estimates. The invention may be used in audio processing devices, such as hearing aids, headsets, etc.
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公开(公告)号:US20200053486A1
公开(公告)日:2020-02-13
申请号:US16514231
申请日:2019-07-17
Applicant: Oticon A/S
Inventor: Jesper JENSEN
IPC: H04R25/00
Abstract: A hearing device, e.g. a hearing aid, comprises a) a multitude of input units, each providing an electric input signal representing sound in the environment of the user in a time-frequency representation, wherein the sound is a mixture of speech and additive noise or other distortions, e.g. reverberation, b) a multitude of beamformer filtering units, each being configured to receive at least two, e.g. all, of said multitude of electric input signals, each of said multitude of beamformer filtering units being configured to provide a beamformed signal representative of the sound in a different one of a multitude of spatial segments, e.g. spatial cells, around the user, c) a multitude of speech probability estimators each configured to receive the beamformed signal for a particular spatial segment and to estimate a probability that said particular spatial segment contains speech at a given point in time and frequency, wherein at least one, e.g. all, of the multitude of speech probability estimators is/are implemented as a trained neural network, e.g. a deep neural network. The invention may e.g. be used in hearing aids or communication devices, such as headsets, or telephones, or speaker phones.
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公开(公告)号:US20190222943A1
公开(公告)日:2019-07-18
申请号:US16249306
申请日:2019-01-16
Applicant: Oticon A/S
Inventor: Asger Heidemann ANDERSEN , Jan M. DE HAAN , Jesper JENSEN
CPC classification number: H04R25/507 , G10L21/0205 , G10L25/30 , G10L25/84 , G10L2015/025 , H04R2225/43 , H04R2430/03
Abstract: A method of training an algorithm for optimizing intelligibility of speech components of a sound signal in hearing aids, headsets, etc., comprises a) providing a first database comprising a multitude of predefined time segments of first electric input signals representing sound and corresponding measured speech intelligibilities; b) determining optimized first parameters of a first algorithm by optimizing it with said predefined time segments and said corresponding measured speech intelligibilities, the first algorithm providing corresponding predicted speech intelligibilities; c) providing a second database comprising a multitude of time segments of second electric input signals representing sound, d) determining optimized second parameters of a second algorithm by optimizing it with said multitude of time segments, said second algorithm being configured to provide processed second electric input signals exhibiting respective predicted speech intelligibilities estimated by said first algorithm, said optimizing being conducted under a constraint of maximizing said predicted speech intelligibility.
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公开(公告)号:US20190115041A1
公开(公告)日:2019-04-18
申请号:US16212405
申请日:2018-12-06
Applicant: Oticon A/S
Inventor: Jesper JENSEN , Michael Syskind PEDERSEN , Mojtaba FARMANI , Pauli MINNAAR
IPC: G10L21/0232 , H04R25/00 , H04R5/033
CPC classification number: G10L21/0232 , H04R1/1083 , H04R5/033 , H04R25/407 , H04R25/43 , H04R25/552 , H04R25/554 , H04R25/558 , H04R2225/43 , H04R2410/05 , H04S7/302 , H04S2400/11 , H04S2420/01
Abstract: The present disclosure regards a hearing device configured to receive acoustical sound signals and to generate output sound signals comprising spatial cues.
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公开(公告)号:US20190110138A1
公开(公告)日:2019-04-11
申请号:US16212417
申请日:2018-12-06
Applicant: Oticon A/S
Inventor: Michael Syskind PEDERSEN , Jesper JENSEN , Peter S. K. HANSEN , Bjarne KIELSHOLM-RIBALAYGUA , Kåre Tais CHRISTENSEN , Jens TROELSEN , Hans Christian SCHOTT , Rune SØ
IPC: H04R25/00
Abstract: A binaural aid assistance system comprises first and second hearing assistance devices, each being adapted for being located at or in, or fully or partially implanted in the head at one of a left and right ear, respectively, of a user, wherein each of the first and second hearing assistance devices comprisesa) a first wireless interface comprising first antenna and transceiver circuitry adapted for establishing a first communication link to the respective other hearing assistance device based on near-field communication; b) a second wireless interface comprising second antenna and transceiver circuitry adapted for establishing a second bi-directional communication link to an auxiliary device based on far-field communication; and wherein the hearing assistance system is configured to transmit an audio signal picked up by a microphone of the hearing assistance device(s) to said auxiliary device.
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公开(公告)号:US20190090069A1
公开(公告)日:2019-03-21
申请号:US16194082
申请日:2018-11-16
Applicant: Oticon A/S
Inventor: Andreas Thelander BERTELSEN , Michael Syskind PEDERSEN , Jesper JENSEN , Thomas KAULBERG , Morten CHRISTOPHERSEN
IPC: H04R25/00 , G10L21/0232 , G10L21/0216
CPC classification number: H04R25/407 , G10L21/0232 , G10L2021/02166 , H04R25/353 , H04R25/405 , H04R25/552 , H04R25/554 , H04R25/558 , H04R25/606 , H04R2225/41 , H04R2225/43 , H04R2225/61 , H04R2430/20
Abstract: A hearing aid comprises a) first and second microphones b) an adaptive beamformer filtering unit comprising, b1) a memory comprising a first and second sets of complex frequency dependent weighting parameters representing a first and second beam patterns, b3) an adaptive beamformer processing unit providing an adaptation parameter βopt(k) representing an adaptive beam pattern, b4) a memory comprising a fixed adaptation parameter βfix(k) representing a third, fixed beam pattern, b5) a mixing unit providing a resulting complex, frequency dependent adaptation parameter βmix(k) as a combination of said fixed and adaptively determined frequency dependent adaptation parameters βfix(k) and βopt(k), respectively, and b6) a resulting beamformer (Y) for providing a resulting beamformed signal YBF 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 βmix(k).
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