Abstract: A hearing device arrangement includes two hearing devices which are connected to each other in a data transmitting manner. Each hearing device includes an audio input unit for obtaining an input audio signal, a processing unit for audio signal processing of the input audio signal to obtain an output audio signal, a neural network which, when executed by the processing unit performs a processing step of the audio signal processing, and an audio output unit for outputting the output audio signal. The hearing device arrangement is configured to transmit neural network data of the neural network of at least one of the hearing devices to the respective other hearing device to be used in the audio signal processing by the processing unit of the respective other hearing device.

Abstract: A method for training a speech enhancement neural network for being executed on a hearing device comprises: providing a speech enhancement neural network, providing a speech style transfer algorithm for converting speech samples with a first speech style into speech samples with a second speech style, obtaining at least one training data set and applying supervised training on the speech enhancement neural network. The speech enhancement neural network has a network audio input for receiving an input audio signal, one or more network layers for predicting an enhanced audio signal and/or a filter mask for filtering the input audio signal, and a network output for outputting the enhanced audio signal and/or the filter mask. The at least one training data set comprises a training input audio signal comprising a speech sample and a target speech sample.

Abstract: An exemplary computing device includes a memory storing instructions; and a processor communicatively coupled to the memory and configured to execute the instructions to perform a process. The process may comprise identifying a hearing profile of a user of a hearing device; providing audio content as an input to a machine learning model; generating modified audio content by adjusting a characteristic of the audio content based on an output of the machine learning model and the hearing profile of the user of the hearing device; and transmitting the modified audio content to the hearing device.

Abstract: Methods, hearing systems and neural networks for audio signal processing are described. A hearing system comprises a neural network. An input audio signal is processed into an output audio signal at least partially by means of a processing unit of the hearing system. The audio signal processing of the input audio signal includes executing audio signal processing by the neural network for performing a step of the audio signal processing, determining a confidence parameter resembling the reliability of the audio signal processing by the neural network and steering the audio signal processing in dependence of the confidence parameter. A particularly suitable neural network is configured to solve a regression-based acoustic processing task and additionally determining the confidence parameter.

Abstract: The disclosure relates to a method of operating a hearing device configured be worn at an ear of a user, the method comprising receiving an audio signal; processing the audio signal by at least one audio processing algorithm to generate a processed audio signal; and outputting, by an output transducer included in the hearing device, an output audio signal based on the processed audio signal so as to stimulate the user's hearing. The disclosure further relates to a hearing device configured to perform the method.

Abstract: The disclosure relates to a method of operating a hearing device configured to be at least partially inserted into an ear canal of a user, the method comprising receiving an input audio signal; amplifying the input audio signal; and outputting, by an output transducer included in the hearing device, an output audio signal based on the amplified audio signal so as to stimulate the user's hearing.

Abstract: An exemplary system includes a memory storing instructions and one or more processors communicatively coupled to the memory and configured to execute the instructions to perform a process comprising: accessing fitting data representative of fitting parameters set by a fitting application to fit a hearing device to a user; determining user behavior data indicative of a hearing intention of the user in an auditory scene where the user is located; determining auditory scene data representative of information about the auditory scene; and implementing, based on the fitting data, the user behavior data, and the auditory scene data, a sound processing delay scheme for use by the hearing device.

Abstract: An exemplary computing device includes a memory storing instructions; and a processor communicatively coupled to the memory and configured to execute the instructions to perform a process. The process may comprise identifying a hearing profile of a user of a hearing device; providing audio content as an input to a machine learning model; generating modified audio content by adjusting a characteristic of the audio content based on an output of the machine learning model and the hearing profile of the user of the hearing device; and transmitting the modified audio content to the hearing device.

Abstract: An exemplary system includes a memory storing instructions and one or more processors communicatively coupled to the memory and configured to execute the instructions to perform a process comprising: accessing fitting data representative of fitting parameters set by a fitting application to fit a hearing device to a user; determining user behavior data indicative of a hearing intention of the user in an auditory scene where the user is located; determining auditory scene data representative of information about the auditory scene; and implementing, based on the fitting data, the user behavior data, and the auditory scene data, a sound processing delay scheme for use by the hearing device.

Abstract: A hearing device arrangement includes two hearing devices which are connected to each other in a data transmitting manner. Each hearing device includes an audio input unit for obtaining an input audio signal, a processing unit for audio signal processing of the input audio signal to obtain an output audio signal, a neural network which, when executed by the processing unit performs a processing step of the audio signal processing, and an audio output unit for outputting the output audio signal. The hearing device arrangement is configured to transmit neural network data of the neural network of at least one of the hearing devices to the respective other hearing device to be used in the audio signal processing by the processing unit of the respective other hearing device.

Abstract: Methods, hearing systems and neural networks for audio signal processing are described. A hearing system comprises a neural network. An input audio signal is processed into an output audio signal at least partially by means of a processing unit of the hearing system. The audio signal processing of the input audio signal includes executing audio signal processing by the neural network for performing a step of the audio signal processing, determining a confidence parameter resembling the reliability of the audio signal processing by the neural network and steering the audio signal processing in dependence of the confidence parameter. A particularly suitable neural network is configured to solve a regression-based acoustic processing task and additionally determining the confidence parameter.

Abstract: A method and an assistance device assist automated driving operation of a motor vehicle. Surroundings raw data recorded by way of a surroundings sensor system of the motor vehicle are processed by the assistance device in order to generate semantic surroundings data. This is accomplished by carrying out semantic object recognition. Further, a comparison of predefined semantically annotated map data against the semantic surroundings data is performed. This involves static objects indicated in the map data being identified in the semantic surroundings data as far as possible. Discrepancies detected during the process are used to recognize perception errors of the assistance device. A recognized perception error prompts a predefined safety measure to be carried out.

Abstract: 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).

Abstract: 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).

Abstract: A motor vehicle, in particular a passenger motor vehicle, has a drive train which has a drive assembly, at least one gear mechanism and a plurality of drive axles. The drive train has at least one transverse lock for locking a rotational speed equalization between wheels of one drive axle and at least one longitudinal lock for locking a rotational speed equalization between two drive axles. A torque distribution of the drive train, namely a torque distribution between the drive axles of the drive train and/or a torque distribution between the wheels of the drive axles, can be determined and visualized for a driver.

Abstract: A method of controlling the handling of vehicles having a controllable longitudinal clutch and/or a controllable main-axle lateral lock in the case of all-wheel systems and a controllable lateral lock in the case of vehicles with a single-axle drive. The input quantities are first detected and processed, and subsequently, a comparison takes place of the desired driving direction, which is defined by way of the steering angle (LW), and the actual moving direction (BR) of the vehicle. If the two values deviate from one another by a definable reference value (RW), the coupling between the front axle and the rear axle of the vehicle is increased for increasing the yaw damping, or, when a controllable main-axle lateral lock is present, the locking torque of the lateral lock is increased, or the two measures are initiated simultaneously.

Abstract: Method of controlling the vehicle handling of vehicles having a controllable longitudinal clutch and/or a controllable main-axle lateral lock in the case of all-wheel systems and a controllable lateral lock in the case of vehicles with a single-axle operation wherein at least the driving speed (v), the lateral acceleration (aq) and the actual steering angle (LW(act)) are detected. From the filed characteristic diagram, which extends along the driving speed (v) and the lateral acceleration (aq), the pertaining steering angle (LW(KF)) is determined for the respective driving speed (v) and the lateral acceleration (aq) and is then compared with the actual steering angle (LW(act)). If the two steering angles deviate from one another by at least a definable amount, the lateral acceleration is adapted by changing the locking torque for a stable vehicle handling.

Abstract: A method of controlling the handling of vehicles having a controllable longitudinal clutch and/or a controllable main-axle lateral lock in the case of all-wheel systems and a controllable lateral lock in the case of vehicles with a single-axle drive. The input quantities are first detected and processed, and subsequently, a comparison takes place of the desired driving direction, which is defined by way of the steering angle (LW), and the actual moving direction (BR) of the vehicle. If the two values deviate from one another by a definable reference value (RW), the coupling between the front axle and the rear axle of the vehicle is increased for increasing the yaw damping, or, when a controllable main-axle lateral lock is present, the locking torque of the lateral lock is increased, or the two measures are initiated simultaneously.

Abstract: Method of controlling the vehicle handling of vehicles having a controllable longitudinal clutch and/or a controllable main-axle lateral lock in the case of all-wheel systems and a controllable lateral lock in the case of vehicles with a single-axle operation wherein at least the driving speed (v), the lateral acceleration (aq) and the actual steering angle (LW(act)) are detected. From the filed characteristic diagram, which extends along the driving speed (v) and the lateral acceleration (aq), the pertaining steering angle (LW(KF)) is determined for the respective driving speed (v) and the lateral acceleration (aq) and is then compared with the actual steering angle (LW(act)). If the two steering angles deviate from one another by at least a definable amount, the lateral acceleration is adapted by changing the locking torque for a stable vehicle handling.

Abstract: A function controls the longitudinal clutch which determines a compensation of different rotational wheel speeds on the left or right vehicle side and, as a function of a permissible difference value, sets a constant torque at the longitudinal clutch.