公开(公告)号：US10225669B2

公开(公告)日：2019-03-05

申请号：US15895266

申请日：2018-02-13

Applicant: Oticon A/S

Inventor： Jesper Jensen ,  Asger Heidemann Andersen ,  Jan Mark De Haan

IPC: H04R25/00 ,  H04R3/00

Abstract: The application relates to a binaural hearing system comprising left and right hearing devices, e.g. hearing aids, each comprising a) a multitude of input units, each providing a time-variant electric input signal xi(t) representing sound received at an ith input unit, t representing time, the electric input signal xi(t) comprising a target signal component si(t) and a noise signal component vi(t), the target signal component originating from a target signal source; b) a configurable signal processing unit for processing the electric input signals and providing a processed signal y(t); c) an output unit for creating output stimuli to the user, d) transceiver circuitry allowing information to be exchanged between the hearing devices, and e) a binaural speech intelligibility (SI) prediction unit for providing a binaural SI-measure of the predicted speech intelligibility of the user when exposed to said output stimuli, based on processed signals yl(t), yr(t) from the signal processing units of the respective left and right hearing devices. This allows the hearing devices to control the processing of the respective electric input signals based on said binaural SI-measure.

公开(公告)号：US10154353B2

公开(公告)日：2018-12-11

申请号：US15426760

申请日：2017-02-07

Applicant: Oticon A/S

Inventor： Jesper Jensen ,  Asger Heidemann Andersen ,  Jan Mark De Haan

IPC: H04R25/00 ,  G10L25/60 ,  G10L21/0272

Abstract: Signal processing methods for predicting the intelligibility of speech, e.g., in the form of an index that correlate highly with the fraction of words that an average listener (amongst a group of listeners with similar hearing profiles) would be able to understand from some speech material are proposed. Specifically, solutions to the problem of predicting the intelligibility of speech signals, which are distorted, e.g., by noise or reverberation, and which might have been passed through some signal processing device, e.g., a hearing aid are described. In summary, the disclosure present solutions to the following problems: 1. Monaural, non-intrusive intelligibility prediction of noisy/processed speech signals 2. Binaural, non-intrusive intelligibility prediction of noisy/processed speech signals 3. Monaural and binaural intelligibility enhancement of noisy speech signals.

公开(公告)号：US10057693B2

公开(公告)日：2018-08-21

申请号：US15457694

申请日：2017-03-13

Applicant: Oticon A/S

Inventor： Asger Heidemann Andersen ,  Jan Mark De Haan ,  Zheng-Hua Tan ,  Jesper Jensen ,  Michael Syskind Pedersen

IPC: H04R25/00 ,  G10L21/038 ,  G10L25/06 ,  G10L19/00

CPC classification number: H04R25/505 ,  G10L19/00 ,  G10L21/038 ,  G10L25/06 ,  G10L25/60 ,  H04R25/552 ,  H04R25/554 ,  H04R2225/43 ,  H04R2225/51

Abstract: An intrusive binaural speech intelligibility predictor system receives a target signal comprising speech in left and right essentially noise-free and noisy and/or processed versions at left and right ears of a listener. The system comprises a) first, second, third and fourth input units for providing time-frequency representations of said left and right noise-free and noisy/processed versions of the target signal, respectively; b) first and second Equalization-Cancellation stages adapted to receive and relatively time shift and amplitude adjust the left and right noise-free and noisy/processed versions, respectively, and to provide resulting noise-free and noisy/processed signals, respectively; and c) a monaural speech intelligibility predictor unit for providing final binaural speech intelligibility predictor value SI-Measure based on said resulting noise-free and noisy/processed signals. The Equalization-Cancellation stages are adapted to optimize the SI-Measure to indicate a maximum intelligibility of said noisy/processed versions of the target signal by said listener. The invention may e.g. be used in development systems for hearing aids.

公开(公告)号：US11540063B2

公开(公告)日：2022-12-27

申请号：US17060732

申请日：2020-10-01

Applicant: Oticon A/S

Inventor： Michael Syskind Pedersen ,  Asger Heidemann Andersen ,  Jesper Jensen ,  Nels Hede Rohde ,  Anders Brødløs Olsen ,  Michael Smed Kristensen ,  Thomas Bentsen ,  Svend Oscar Petersen

IPC: H04R25/00 ,  G06N3/063 ,  G10L15/08 ,  G10L17/00

Abstract: 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.

公开(公告)号：US11245993B2

公开(公告)日：2022-02-08

申请号：US16785167

申请日：2020-02-07

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: G06N3/08 ,  G10L25/51 ,  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) an SNR estimator for providing a target signal-to-noise ratio estimate for said at least one electric input signal in said time frequency representation; and b2) an SNR-to-gain converter for converting said target signal-to-noise ratio estimate to respective gain values in said time frequency representation. The signal processor comprises a neural network, wherein the weights of the neural network have been trained with a plurality of training signals. A method of operating a hearing aid is further disclosed. The invention may e.g. be used in audio devices, such as hearing aids, headsets, mobile telephones, etc., operating in noisy acoustic environments.

公开(公告)号：US10176821B2

公开(公告)日：2019-01-08

申请号：US15445472

申请日：2017-02-28

Applicant: Oticon A/S

Inventor： Jesper Jensen ,  Jan Mark De Haan ,  Asger Heidemann Andersen

IPC: G10L21/02 ,  G10L21/0232 ,  G10L21/038 ,  G10L25/06 ,  G10L25/60 ,  A61N1/378 ,  H04R25/00

Abstract: A monaural intrusive speech intelligibility predictor unit comprises: first and second input units for providing time-frequency representations s(k,m) and x(k,m) of noise-free and noisy and/or processed versions of a target signal, respectively, k being a frequency bin index, k=1, 2, . . . , K, and m being a time index; first and second envelope extraction units for providing time-frequency sub-band representations of the signals sj(m) and xj(m), j being a frequency sub-band index, j=1, 2, . . . , J; first and second time-frequency segment division units for dividing the time-frequency sub-band representations sj(m) and xj(m) into time-frequency segments Sm and Xm corresponding to a number N of successive samples of the sub-band signals; an intermediate speech intelligibility calculation unit adapted for providing intermediate speech intelligibility coefficients dm estimating an intelligibility of said time-frequency segment Xm, based on said time-frequency segments Sm and Xm or normalized and/or transformed versions {tilde over (S)}m, and {tilde over (X)}m thereof; and a final monaural speech intelligibility calculation unit for calculating a final monaural speech intelligibility predictor d estimating an intelligibility of said noisy and/or processed version x of the target signal by combining said intermediate speech intelligibility coefficients dm, or a transformed version thereof, over time. A hearing aid comprises a monaural, intrusive intelligibility predictor unit, and a configurable signal processor adapted to control or influence the processing of one or more electric input signals representing environment sound to maximize the final speech intelligibility predictor d. A binaural hearing aid system comprises first and second hearing aids.

公开(公告)号：US11546707B2

公开(公告)日：2023-01-03

申请号：US16850884

申请日：2020-04-16

Applicant: Oticon A/S

Inventor： Nels Hede Rohde ,  Thomas Bentsen ,  Anders Brødløs Olsen ,  Asger Heidemann Andersen ,  Michael Syskind Pedersen ,  Svend Oscar Petersen ,  Jesper Jensen ,  Michael Smed Kristensen

IPC: H04R25/00 ,  G10L15/22 ,  G10L15/16 ,  G10L15/08

Abstract: A hearing device, e.g. a hearing aid, is configured to be arranged at least partly on a user's head or at least partly implanted in a user's head. The hearing device comprises a) at least one input transducer for picking up an input sound signal from the environment and providing at least one electric input signal representing said input sound signal; b) a signal processor providing a processed signal based on one or more of said at least one electric input signals; c) an output unit for converting said processed signal or a signal originating therefrom to stimuli perceivable by said user as sound; d) a keyword spotting system comprising d1) a keyword detector configured to detect a limited number of predefined keywords or phrases or sounds in said at least one electric input signal or in a signal derived therefrom, and to provide a keyword indicator of whether or not, or with what probability, said keywords or phrases or sounds are detected, and d2) an own voice detector for providing an own voice indicator estimating whether or not, or with what probability, a given input sound signal originates from the voice of the user of the hearing device. The hearing device further comprises e) a controller configured to provide an own-voice-keyword indicator of whether or not or with what probability a given one of said keywords or phrases or sounds is currently detected and spoken by said user, said own-voice-keyword indicator being dependent on said keyword indicator and said own voice indicator.

公开(公告)号：US10966034B2

公开(公告)日：2021-03-30

申请号：US16249306

申请日：2019-01-16

Applicant: Oticon A/S

Inventor： Asger Heidemann Andersen ,  Jan M. De Haan ,  Jesper Jensen

IPC: G10L21/00 ,  H04R25/00 ,  G10L25/84 ,  G10L21/0364 ,  G10L15/02 ,  G10L25/30 ,  G10L21/02 ,  G10L21/057

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.

公开(公告)号：US09924279B2

公开(公告)日：2018-03-20

申请号：US15040042

申请日：2016-02-10

Applicant: Oticon A/S

Inventor： Jesper Jensen ,  Asger Heidemann Andersen ,  Jan Mark De Haan

IPC: H04R25/00 ,  H04R3/00

CPC classification number: H04R25/552 ,  H04R3/005 ,  H04R25/505 ,  H04R2225/43 ,  H04R2225/55

Abstract: The application relates to a binaural hearing system comprising left and right hearing devices, e.g. hearing aids, each comprising a) a multitude of input units, each providing a time-variant electric input signal xi(t) representing sound received at an ith input unit, t representing time, the electric input signal xi(t) comprising a target signal component si(t) and a noise signal component vi(t), the target signal component originating from a target signal source; b) a configurable signal processing unit for processing the electric input signals and providing a processed signal y(t); c) an output unit for creating output stimuli to the user, d) transceiver circuitry allowing information to be exchanged between the hearing devices, and e) a binaural speech intelligibility (SI) prediction unit for providing a binaural SI-measure of the predicted speech intelligibility of the user when exposed to said output stimuli, based on processed signals yl(t), yr(t) from the signal processing units of the respective left and right hearing devices. This allows the hearing devices to control the processing of the respective electric input signals based on said binaural SI-measure.

公开(公告)号：US12143775B2

公开(公告)日：2024-11-12

申请号：US17981648

申请日：2022-11-07

Applicant: Oticon A/S

Inventor： Michael Syskind Pedersen ,  Asger Heidemann Andersen ,  Jesper Jensen ,  Nels Hede Rohde ,  Anders Brødløs Olsen ,  Michael Smed Kristensen ,  Thomas Bentsen ,  Svend Oscar Petersen

IPC: H04R25/00 ,  G06N3/063 ,  G10L15/08 ,  G10L17/00

Abstract: 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.