Abstract: Embodiments of the present disclosure set forth a method of reducing noise in an audio signal. The method includes determining, based on sensor data acquired from a first set of sensors, a first position of a user in an environment. The method also includes acquiring, via the first set of sensors, one or more audio signals associated with sound in the environment and identifying one or more noise elements in the one or more audio signals. The method also includes generating a first directional audio signal based on the one or more noise elements. When the first directional audio signal is outputted by a first speaker, the first speaker produces a first acoustic field that attenuates the one or more noise elements at the first position.

Abstract: An array of audio transducers includes an optical emitter, for example, and without limitation, a light emitting diode (LED), associated with each transducer. Simultaneous stimulation of all transducers illuminates all LED's. An imager then creates a map of the transducer array. Stimulation of a single transducer, illuminating the associated LED, creates an optical signature that imaging software uses to determine the position of the transducer within the array. The system then verifies the correspondence between each transducer and the associated driver amplifier by sequential stimulation of each transducer within the array. The system may vary the frequency of the stimulation applied to transducers that include filtering networks, known as crossovers, to validate performance. Further, the system may compute the angles between transducer assemblies that may be deployed in non-planar configurations, thus ensuring that the installation is constructed to specifications.

Abstract: A system and method for customizing a hearing device to the purchased at the point of sale. The system has a user interface and a test hearing device having a plurality of biometric sensors arranged in a sensor array that contact a user for detecting data representative of an auditory brainstem response. The system creates a customized hearing algorithm using the collected data. The hearing device to be purchased is communicatively coupled to the user interface and the customized hearing algorithm is downloaded to the hearing device to be purchased.

Abstract: A technique for reducing noise in a listening environment. The technique includes dividing the listening environment into a plurality of zones, where each zone is associated with a different active noise cancellation (ANC) system. A boundary between a first zone included in the plurality of zones and a second zone included in the plurality of zones comprises open space. The technique further includes assigning a plurality of acoustic sensors and a plurality of speakers to the ANC system associated with each zone included in the plurality of zones. The technique further includes, for each zone included in the plurality of zones, acquiring acoustic data via the plurality of acoustic sensors, processing the acoustic data, via a processor, to generate noise cancellation signals, and outputting the noise cancellation signals via the plurality of speakers.

Abstract: The various embodiments set forth an apparatus comprising an earpiece, a sensor configured to measure an inherent attribute associated with a user, a wireless transceiver configured to communicate with a wireless access point of a wireless communication network, and a controller. The controller is configured to establish authenticated access to the wireless communication network based on the inherent attribute associated with the user. An advantage of the disclosed embodiment is that a hearable device can conveniently authenticate user access to a network with enhanced security, based on one or more inherence factors that are measured by the hearable device.

Abstract: The various embodiments set forth an active noise cancellation system that includes a source separation algorithm. The source separation algorithm enables the identification of acoustic inputs from a particular sound source based on a reference signal generated with one or more microphones. Consequently, the identified acoustic inputs can be cancelled or damped in a targeted listening location via an acoustic correction signal, where the acoustic correction signal is generated based on a sound source separated from the reference signal. Advantageously, the reference signal can be generated with a microphone, even though such a reference signal may include a combination of multiple acoustic inputs. Thus, noise sources that cannot be individually measured, for example with an accelerometer mounted to a vibrating structure, can still be identified and actively cancelled.

Abstract: One embodiment of the present invention sets forth a technique for determining a set of sound parameters associated with a sound type. The technique includes receiving, via a network and from each a first plurality of remote computing devices, an audio recording of a first sound type and a descriptor associated with the first sound type. The technique further includes processing the audio recordings via a processor to determine a first set of sound parameters associated with the first sound type. The technique further includes receiving a request associated with the descriptor from at least one remote computing device and, in response, transmitting the first set of sound parameters associated with the first sound type to the at least one remote computing device.

Abstract: A technique for reducing noise in a listening environment. The technique includes dividing the listening environment into a plurality of zones, where each zone is associated with a different active noise cancellation (ANC) system. A boundary between a first zone included in the plurality of zones and a second zone included in the plurality of zones comprises open space. The technique further includes assigning a plurality of acoustic sensors and a plurality of speakers to the ANC system associated with each zone included in the plurality of zones. The technique further includes, for each zone included in the plurality of zones, acquiring acoustic data via the plurality of acoustic sensors, processing the acoustic data, via a processor, to generate noise cancellation signals, and outputting the noise cancellation signals via the plurality of speakers.

Abstract: A composite insulation is included between the skin of an aircraft and interior trim panels. The composite insulation includes multiple layers of micro-perforate material interspersed with layers of semi-rigid material. For a given thickness, the composite insulation provides superior transmission loss over a wide range of frequencies, including low frequencies, compared to conventional homogeneous insulation having the same thickness. Thus, the composite insulation reduces broadband noise within the cabin of an aircraft more effectively compared to conventional insulation.

Abstract: A technique for determining one or more equalization parameters includes acquiring, via one or more electrodes, auditory brainstem response (ABR) data associated with a first audio sample and determining, via a processor, one or more equalization parameters based on the ABR data. The technique further includes reproducing a second audio sample based on the one or more equalization parameters, acquiring, via the one or more electrodes, complex auditory brainstem response (cABR) data associated with the second audio sample, and comparing, via the processor, the cABR data to at least one representation of the second audio sample to determine at least one measure of similarity. The technique further includes modifying the one or more equalization parameters based on the at least one measure of similarity.

Abstract: One embodiment of the present invention sets forth a technique for determining a set of sound parameters associated with a sound type. The technique includes receiving, via a network and from each a first plurality of remote computing devices, an audio recording of a first sound type and a descriptor associated with the first sound type. The technique further includes processing the audio recordings via a processor to determine a first set of sound parameters associated with the first sound type. The technique further includes receiving a request associated with the descriptor from at least one remote computing device and, in response, transmitting the first set of sound parameters associated with the first sound type to the at least one remote computing device.

Abstract: The various embodiments set forth an active noise cancellation system that includes a source separation algorithm. The source separation algorithm enables the identification of acoustic inputs from a particular sound source based on a reference signal generated with one or more microphones. Consequently, the identified acoustic inputs can be cancelled or damped in a targeted listening location via an acoustic correction signal, where the acoustic correction signal is generated based on a sound source separated from the reference signal. Advantageously, the reference signal can be generated with a microphone, even though such a reference signal may include a combination of multiple acoustic inputs. Thus, noise sources that cannot be individually measured, for example with an accelerometer mounted to a vibrating structure, can still be identified and actively cancelled.

Abstract: The various embodiments set forth an apparatus comprising an earpiece, a sensor configured to measure an inherent attribute associated with a user, a wireless transceiver configured to communicate with a wireless access point of a wireless communication network, and a controller. The controller is configured to establish authenticated access to the wireless communication network based on the inherent attribute associated with the user. An advantage of the disclosed embodiment is that a hearable device can conveniently authenticate user access to a network with enhanced security, based on one or more inherence factors that are measured by the hearable device.

Abstract: A technique for determining one or more equalization parameters includes acquiring, via one or more electrodes, auditory brainstem response (ABR) data associated with a first audio sample and determining, via a processor, one or more equalization parameters based on the ABR data. The technique further includes reproducing a second audio sample based on the one or more equalization parameters, acquiring, via the one or more electrodes, complex auditory brainstem response (cABR) data associated with the second audio sample, and comparing, via the processor, the cABR data to at least one representation of the second audio sample to determine at least one measure of similarity. The technique further includes modifying the one or more equalization parameters based on the at least one measure of similarity.