公开(公告)号：US10811028B2

公开(公告)日：2020-10-20

申请号：US16326936

申请日：2016-08-22

申请人： Sonova AG

发明人： Samuel Bucher ,  Xavier Gigandet ,  Jean-Louis Durrieu ,  Hannes Wuethrich ,  Markus Hofbauer

IPC分类号： G10L21/0232 ,  H04R25/00 ,  G10L21/0264 ,  H04R3/04 ,  G10L21/0216

摘要： This invention relates to a method of managing adaptive feedback cancellation in a hearing device comprising at least a microphone (1); a receiver (2); and a signal processing circuitry, configured to receive from said microphone (1) an input signal (Xtd, Xfd, Xc) and to provide said receiver (2) with an output signal (Yfd, Ufd, Utd). An external acoustic feedback path (300) defined by feedback sound (fb) traveling from the receiver (2) to the microphone (1) is represented by an external feedback path transfer function (3). The signal processing unit comprises at least a gain unit (4); a feedback canceller unit (5) comprising an adaptive filter element (6) configured to adaptively accommodate changes in said external acoustic feedback path transfer function (3); and a frequency shift unit (7) configured to stabilize an adaptation of the feedback canceler unit (5). The method according to the present invention comprises the steps of: estimating the external acoustic feedback path transfer function (3) by modeling/deriving a first estimated feedback path transfer function (8) to reflect the external acoustic feedback path transfer function (3), by said feedback canceler unit (5); compensating the input signal of the hearing device (Xfd), based on the first estimated feedback path transfer function (8), thereby generating a compensated input signal (Xc); providing at least part of the signal processing unit with the compensated input signal (Xc). The method further comprises the steps of: generating a probe signal (W), by an adaptation control block (9, 10); injecting the probe signal (W) into the output signal (Yfd) of the hearing device and letting the probe signal (W) be fed back to the microphone (1) through the external acoustic feedback path (300); modeling/deriving at least a reference estimated feedback path transfer function (11), based on a relation between the input signal (Xfd) and the probe signal (w); comparing said at least a reference estimated feedback path transfer function (11) with said first estimated feedback path transfer function (8), by a comparison unit (12) of said adaptation control block (9); and controlling the adaptive filter element (6) and the frequency shift unit (7) based on a comparison between such at least a reference estimated feedback path transfer function (11) and the first estimated feedback path transfer function (8).

公开(公告)号：US20240334137A1

公开(公告)日：2024-10-03

申请号：US18414005

申请日：2024-01-16

申请人： SONOVA AG

发明人： Stefan Raufer ,  Volker Kühnel ,  Nadim El Guindi ,  Raoul Glatt ,  Stephan Müller ,  Samuel Bucher ,  Fernando Javier Balseiro Lago

IPC分类号： H04R25/00

CPC分类号： H04R25/507 ,  H04R25/43 ,  H04R25/552 ,  H04R2225/41

摘要： A hearing system comprises at least one hearing device having an input unit for obtaining an input audio signal, a processing unit for processing the input audio signal to obtain an output audio signal, and an output unit for outputting the output audio signal. The hearing system further comprises an estimation unit for estimating a signal property of the input audio signal. The processing unit comprises a first audio signal path having a noise cancellation unit for obtaining a target audio signal from the input audio signal, a second audio signal path bypassing the noise cancellation unit and a mixing unit for mixing the target audio signal with audio signals from the second audio signal path for obtaining the output audio signal. The mixing unit is configured to adjust the contribution of the target audio signal to the output audio signal.

公开(公告)号：US20240323619A1

公开(公告)日：2024-09-26

申请号：US18614362

申请日：2024-03-22

申请人： SONOVA AG

发明人： Samuel Bucher ,  Hans-Ueli Roeck ,  Fethi Cherigui

IPC分类号： H04R25/00

CPC分类号： H04R25/507

摘要： A processing chip for processing audio signals using at least one deep neural network (DNN) in a hearing device comprises a first compute unit having a hardware architecture adapted for processing one or more convolutional neural network layers of the at least one DNN, a second compute unit having hardware architecture adapted for processing one or more recurring neural network layers of the at least DNN, a control unit for directing the first and second compute units when to compute a respective layer of the at least one DNN, a shared memory unit of storing data to be processed in respective layers of the at least one DNN, and a data bus system for providing access to the shared memory unit for each of the first and the second compute unit.

公开(公告)号：US20190198037A1

公开(公告)日：2019-06-27

申请号：US16326936

申请日：2016-08-22

申请人： Sonova AG

发明人： Samuel Bucher ,  Xavier Gigandet ,  Jean-Louis Durrieu ,  Hannes Wuethrich ,  Markus Hofbauer

IPC分类号： G10L21/0232 ,  H04R3/04 ,  G10L21/0264

CPC分类号： G10L21/0232 ,  G10L21/0264 ,  G10L2021/02163 ,  H04R3/04 ,  H04R25/30 ,  H04R25/353 ,  H04R25/453 ,  H04R25/554 ,  H04R2225/41 ,  H04R2430/03

摘要： This invention relates to a method of managing adaptive feedback cancellation in a hearing device comprising at least a microphone (1); a receiver (2); and a signal processing circuitry, configured to receive from said microphone (1) an input signal (Xtd, Xfd, Xc) and to provide said receiver (2) with an output signal (Yfd, Ufd, Utd). An external acoustic feedback path (300) defined by feedback sound (fb) traveling from the receiver (2) to the microphone (1) is represented by an external feedback path transfer function (3). The signal processing unit comprises at least a gain unit (4); a feedback canceller unit (5) comprising an adaptive filter element (6) configured to adaptively accommodate changes in said external acoustic feedback path transfer function (3); and a frequency shift unit (7) configured to stabilize an adaptation of the feedback canceler unit (5). The method according to the present invention comprises the steps of: estimating the external acoustic feedback path transfer function (3) by modeling/deriving a first estimated feedback path transfer function (8) to reflect the external acoustic feedback path transfer function (3), by said feedback canceler unit (5); compensating the input signal of the hearing device (Xfd), based on the first estimated feedback path transfer function (8), thereby generating a compensated input signal (Xc); providing at least part of the signal processing unit with the compensated input signal (Xc). The method further comprises the steps of: generating a probe signal (W), by an adaptation control block (9, 10); injecting the probe signal (W) into the output signal (Yfd) of the hearing device and letting the probe signal (W) be fed back to the microphone (1) through the external acoustic feedback path (300); modeling/deriving at least a reference estimated feedback path transfer function (11), based on a relation between the input signal (Xfd) and the probe signal (w); comparing said at least a reference estimated feedback path transfer function (11) with said first estimated feedback path transfer function (8), by a comparison unit (12) of said adaptation control block (9); and controlling the adaptive filter element (6) and the frequency shift unit (7) based on a comparison between such at least a reference estimated feedback path transfer function (11) and the first estimated feedback path transfer function (8).

公开(公告)号：US12108219B1

公开(公告)日：2024-10-01

申请号：US18614362

申请日：2024-03-22

申请人： SONOVA AG

发明人： Samuel Bucher ,  Hans-Ueli Roeck ,  Fethi Cherigui

IPC分类号： H04R25/00

CPC分类号： H04R25/507

摘要： A processing chip for processing audio signals using at least one deep neural network (DNN) in a hearing device comprises a first compute unit having a hardware architecture adapted for processing one or more convolutional neural network layers of the at least one DNN, a second compute unit having hardware architecture adapted for processing one or more recurring neural network layers of the at least DNN, a control unit for directing the first and second compute units when to compute a respective layer of the at least one DNN, a shared memory unit of storing data to be processed in respective layers of the at least one DNN, and a data bus system for providing access to the shared memory unit for each of the first and the second compute unit.