Abstract: A method, apparatus, system, and computer program code for dynamically modeling multi-tenant data in a machine learning platform. A recommendation engine receives a first data set from a user. The recommendation engine characterizes the first data set to determine data attributes and data characteristics of the first data set. The recommendation engine aligns the data attributes of the first data set with a second data set according to an ontology. Based on the data characteristics of the first data set, the recommendation engine identifies a set of pre-trained models that was trained from training parameters selected from data attributes and data characteristics of a second data set. The recommendation engine recommends the set of pre-trained models to the user.

Abstract: A compact modular bow comprising a central member with slots at each end and a longitudinal tunnel, a plurality of interlocking limb segments with tunnels, connector sections with tunnels for connecting the limb segments, and a pair of recurve sections. The tunnels in the central member, limb segments, connector sections, and recurve sections align to allow a cord to pass through, maintaining the structural integrity of the assembled bow. The bow can be easily assembled, disassembled, and stored compactly, making it suitable for emergency hunting and survival situations. The components are made from durable materials such as carbon fiber, fiberglass, metal, and wood, and the bow includes a stretch cord for stability. The design allows for adding additional limb segments and connector sections to extend the bow's length as needed.

Abstract: Disclosed herein are embodiments of a method of setting signal processing parameters for a hearing aid. The method can utilize Audible Contrast Threshold (ACT) data, along with a user's audiogram and age parameter, for determining hearing aid signal processing parameter settings. Further, in certain examples a prescription protocol can be used.

Abstract: The present application relates to a system comprising a hearing aid, the hearing aid configured to be operated based on an estimation of a current listening effort of a hearing aid user.

Abstract: 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.

Abstract: Presented herein is a hearing aid device that is configured to implement a frequency band bundling scheme and a method of processing an input audio signal.

Abstract: The present application relates to a system comprising a hearing aid, the hearing aid configured to be operated based on an estimation of a current listening effort of a hearing aid user.

Abstract: The invention relates to a hearing aid a cochlear implant comprising a) at least one input transducer for capturing incoming sound and for generating electric audio signals which represent frequency bands of the incoming sound, b) a sound processor which is configured to analyze and to process the electric audio signals, c) a transmitter that sends the processed electric audio signals, d) a receiver/stimulator, which receives the processed electric audio signals from the transmitter and converts the processed electric audio signals into electric pulses, e) an electrode array embedded in the cochlear comprising a number of electrodes for stimulating the cochlear nerve with said electric pulses, and f) a control unit configured to control the distribution of said electric pulses to the number of said electrodes.

Abstract: An access network can allocate a bearer for a network service associated with a quality-of-service (QoS) value (QV) and a retention-priority value (RPV), and determine a bearer ID for the service based on the QV, the RPV, and a supplemental priority value (SPV) different from the QV and from the RPV. Upon handover of a terminal, session(s) carried by a bearer allocated by the terminal can be terminated. That bearer can be selected using IDs of the bearers and a comparison function that, given two bearer IDs, determines which respective bearer should be terminated before the other. Upon handover of a terminal to an access network supporting fewer bearers per terminal than the terminal has allocated, a network node can select a bearer based on respective QVs and RPVs of a set of allocated bearers. The network node can deallocate the selected bearer.

Abstract: A method, apparatus, system, and computer program code for dynamically modeling multi-tenant data in a machine learning platform. A recommendation engine receives a first data set from a user. The recommendation engine characterizes the first data set to determine data attributes and data characteristics of the first data set. The recommendation engine aligns the data attributes of the first data set with a second data set according to an ontology. Based on the data characteristics of the first data set, the recommendation engine identifies a set of pre-trained models that was trained from training parameters selected from data attributes and data characteristics of a second data set. The recommendation engine recommends the set of pre-trained models to the user.

Abstract: The present application relates to a system comprising a hearing aid, the hearing aid configured to be operated based on an estimation of a current listening effort of a hearing aid user.

Abstract: The present application relates to a system comprising a hearing aid, the hearing aid configured to be operated based on an estimation of a current listening effort of a hearing aid user.

Abstract: 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.

Abstract: A method of personalizing one or more parameters of a processing algorithm for use in a hearing aid of a specific user comprises Performing a predictive test for estimating a hearing ability of the user when listening to signals having different characteristics; Analyzing results of said predictive test for said user and providing a hearing ability measure for said user; Selecting a specific processing algorithm of said hearing aid, Selecting a cost-benefit function related to said user's hearing ability in dependence of said different characteristics for said algorithm; and Determining, for said user, one or more personalized parameters of said processing algorithm in dependence of said hearing ability measure and said cost-benefit function.

Abstract: The invention relates to a hearing aid a cochlear implant comprising a) at least one input transducer for capturing incoming sound and for generating electric audio signals which represent frequency bands of the incoming sound, b) a sound processor which is configured to analyze and to process the electric audio signals, c) a transmitter that sends the processed electric audio signals, d) a receiver/stimulator, which receives the processed electric audio signals from the transmitter and converts the processed electric audio signals into electric pulses, e) an electrode array embedded in the cochlear comprising a number of electrodes for stimulating the cochlear nerve with said electric pulses, and f) a control unit configured to control the distribution of said electric pulses to the number of said electrodes.

Abstract: The invention relates to a hearing aid a cochlear implant comprising a) at least one input transducer for capturing incoming sound and for generating electric audio signals which represent frequency bands of the incoming sound, b) a sound processor which is configured to analyze and to process the electric audio signals, c) a transmitter that sends the processed electric audio signals, d) a receiver/stimulator, which receives the processed electric audio signals from the transmitter and converts the processed electric audio signals into electric pulses, e) an electrode array embedded in the cochlear comprising a number of electrodes for stimulating the cochlear nerve with said electric pulses, and f) a control unit configured to control the distribution of said electric pulses to the number of said electrodes.

Abstract: An access network can allocate a bearer for a network service associated with a quality-of-service (QoS) value (QV) and a retention-priority value (RPV), and determine a bearer ID for the service based on the QV, the RPV, and a supplemental priority value (SPV) different from the QV and from the RPV. Upon handover of a terminal, session(s) carried by a bearer allocated by the terminal can be terminated. That bearer can be selected using IDs of the bearers and a comparison function that, given two bearer IDs, determines which respective bearer should be terminated before the other. Upon handover of a terminal to an access network supporting fewer bearers per terminal than the terminal has allocated, a network node can select a bearer based on respective QVs and RPVs of a set of allocated bearers. The network node can deallocate the selected bearer.

Abstract: A method of personalizing one or more parameters of a processing algorithm for use in a hearing aid of a specific user comprises Performing a predictive test for estimating a hearing ability of the user when listening to signals having different characteristics; Analyzing results of said predictive test for said user and providing a hearing ability measure for said user; Selecting a specific processing algorithm of said hearing aid, Selecting a cost-benefit function related to said user's hearing ability in dependence of said different characteristics for said algorithm; and Determining, for said user, one or more personalized parameters of said processing algorithm in dependence of said hearing ability measure and said cost-benefit function.

Abstract: The present application relates to a system comprising a hearing aid, the hearing aid configured to be operated based on an estimation of a current listening effort of a hearing aid user.