Abstract: An audio enhancement method includes receiving a first input signal representative of audio captured using an array of two or more sensors, the first input signal characterized by a first signal-to-noise ratio (SNR), with the audio being the signal-of-interest. The method also includes receiving a second input signal representative of the audio, the second input signal characterized by a second SNR. The second SNR is higher than the first SNR. The method further includes computing a spectral mask based on a frequency domain representation of the second input signal, and processing a frequency domain representation of the first input signal based on the spectral mask to generate one or more driver signals. The method further includes driving one or more acoustic transducers using the generated driver signals.

Abstract: An audio enhancement method includes receiving a first plurality of input signals representative of audio captured using an array of two or more sensors, the first plurality of input signals characterized by a first signal-to-noise ratio (SNR), with the audio being the signal-of-interest. The method also includes receiving a second input signal representative of the audio, the second input signal characterized by a second SNR. The second SNR is higher than the first SNR. The method further includes combining the first plurality of input signals and the second input signal to generate one or more driver signals, and driving one or more acoustic transducers using the one or more driver signals to generate an acoustic signal representative of the audio. The driver signals include spatial information derived from the first plurality of input signals, and are characterized by a third SNR that is higher than the first SNR.

Abstract: Various implementations include approaches for demonstrating wearable audio device capabilities. In particular aspects, a computer-implemented method of demonstrating a feature of a wearable audio device includes: receiving a command to initiate an audio demonstration mode at a demonstration device; initiating binaural playback of a demonstration audio file at wearable playback device being worn by a user and initiating playback of a corresponding demonstration video file at a video interface coupled with the demonstration device; receiving a user command to adjust a demonstration setting at the demonstration device to emulate adjustment of a corresponding setting on the wearable audio device; and adjusting the binaural playback at the wearable playback device based upon the user command.

Abstract: A head-worn acoustic device includes at least one acoustic transducer disposed such that, in a head-worn state, the transducer is in an open-ear configuration in which an ear canal of a user of the head-worn acoustic device is unobstructed. The acoustic device also includes at least one microphone configured to capture audio that is processed and played back through the transducer, and an amplifier circuit configured to process signals representing the audio captured using the microphone and generate driver signals for the transducer. The transducer and the microphone are disposed on the head-worn acoustic device such that, in the head-worn state, a lobe of a radiation pattern of the at least one acoustic transducer is directed towards the ear canal of the user, and the at least one microphone is positioned in an acoustic null in a radiation pattern of the at least one acoustic transducer.

Abstract: Content manipulation uses cognitive states for vehicle content recommendation. Images are obtained of a vehicle occupant using imaging devices within a vehicle. The one or more images include facial data of the vehicle occupant. A content ingestion history of the vehicle occupant is obtained, where the content ingestion history includes one or more audio or video selections. A first computing device is used to analyze the one or more images to determine a cognitive state of the vehicle occupant. The cognitive state is correlated to the content ingestion history using a second computing device. One or more further audio or video selections are recommended to the vehicle occupant, based on the cognitive state, the content ingestion history, and the correlating. The analyzing can be compared with additional analyzing performed on additional vehicle occupants. The additional vehicle occupants can be in the same vehicle as the first occupant or different vehicles.

Abstract: The present disclosure relates generally to custom medical devices and additive manufacturing (3D printing) processes for producing the same. Using certain materials and novel fabrication techniques, the present systems and methods can directly print nearly any size or shape medical device or instrument. For example, in certain embodiments, the present systems and methods leverage stereolithography (“SLA”) and photo-curable polymers to produce custom, radiopaque medical devices and instruments.

Abstract: Various implementations include conversation assistance audio devices with settings that are adjustable based upon user feedback. In some cases, a computer-implemented method of personalizing a conversation assistance audio device includes: receiving a command from a user for assistance with audio settings in the conversation assistance audio device; applying a baseline set of audio settings to the conversation assistance audio device in response to receiving the user command for assistance; receiving a user command to change the baseline set of audio settings; and applying a modified set of audio settings to the conversation assistance audio device in response to receiving the user command to change the baseline set of audio settings, wherein the modified set of audio settings are applied based upon usage of the conversation assistance audio device and a population model of usage of similar conversation assistance audio devices.

Abstract: Vehicle interior object management uses analysis for detection of an object within a vehicle. The object can include a cell phone, a computing device, a briefcase, a wallet, a purse, or luggage. The object can include a child or a pet. A distance between an occupant and the object can be calculated. The object can be within a reachable distance of the occupant. Two or more images of a vehicle interior are collected using imaging devices within the vehicle. The images are analyzed to detect an object within the vehicle. The object is classified. A level of interaction is estimated between an occupant of the vehicle and the object within the vehicle. The object can be determined to have been left behind once the occupant leaves the vehicle. A control element of the vehicle is changed based on the classifying and the level of interaction.

Abstract: Various implementations include control mechanisms for managing hearing aid usage. In some cases, an interface with a representation of the hearing aid in space is used to control audio functions in the device. In other cases, directionality of the device is controlled based upon the user's visual focus direction. In additional cases, the operating mode of the device is adjustable based upon the signature of a nearby acoustic signal.

Abstract: The present disclosure relates generally to medical devices, including airway stents, and additive manufacturing (3D printing) processes for producing the same. Using certain materials and novel printing techniques, the present systems and methods can directly print nearly any size or shape medical device in a few hours. For example, in certain embodiments, the present systems and methods leverage fused deposition modeling (“FDM”) and polycarbonate urethane (“PCU”) to produce custom medical devices, including airway stents.

Abstract: Various implementations include conversation assistance audio devices with settings that are adjustable based upon user feedback. In some cases, the conversation assistance audio device is configured to use a set of simulated audio environments to personalize audio settings for a user. In other cases, the conversation assistance audio device is configured to iteratively adjust audio settings from a baseline set of audio settings in response to user commands.

Abstract: Vehicular in-cabin sensing is performed using machine learning. In-cabin sensor data of a vehicle interior is collected. The in-cabin sensor data includes images of the vehicle interior. An occupant is detected within the vehicle interior. The detecting is based on identifying an upper torso of the occupant, using the in-cabin sensor data. The imaging is accomplished using a plurality of imaging devices within a vehicle interior. The occupant is located within the vehicle interior, based on the in-cabin sensor data. An additional occupant within the vehicle interior is detected. A human perception metric for the occupant is analyzed, based on the in-cabin sensor data. The detecting, the locating, and/or the analyzing are performed using machine learning. The human perception metric is promoted to a using application. The human perception metric includes a mood for the occupant and a mood for the vehicle. The promoting includes input to an autonomous vehicle.

Abstract: Provided herein are implants and methods for producing implants. In at least one embodiment, the implants include sheet-based, triply periodic, minimal surface (TPMS) portions. According to one embodiment, the TPMS portions include a gyroid architecture that provides for improved osseointegration and mechanical performance over previous implants due to novel ratios of porosity to compressive strength, among other features. In one or more embodiments, the gyroid architecture is organized into unit cells that demonstrate anisotropic mechanical performance along an insertion direction. In various embodiments, the present methods include novel selective laser melting (SLM) techniques for forming the TPMS portions of implants in a manner that reduces defect formation, thereby improving compressive performance and other implant properties.

Abstract: Example embodiments relates to method and systems to restore content of a volume at a given point in time.

Abstract: Various implementations include approaches for demonstrating wearable audio device capabilities. In particular aspects, a computer-implemented method of demonstrating a feature of a wearable audio device includes: receiving a command to initiate an audio demonstration mode at a demonstration device; initiating binaural playback of a demonstration audio file at wearable playback device being worn by a user and initiating playback of a corresponding demonstration video file at a video interface coupled with the demonstration device; receiving a user command to adjust a demonstration setting at the demonstration device to emulate adjustment of a corresponding setting on the wearable audio device; and adjusting the binaural playback at the wearable playback device based upon the user command.

Abstract: A gas turbine engine and method of starting, the gas turbine engine having a rotor comprising at least a shaft mounted compressor and turbine, with a casing surrounding the rotor. The method comprises an acceleration phase, a bowed-rotor cooling phase, during the acceleration, and a combustion phase. The bowed-rotor cooling phase comprises a time where the rotational speed of the rotor is maintained below a bowed-rotor threshold speed until a non-bowed condition is satisfied, wherein the air forced through the gas turbine engine cools the rotor. The combustion phase occurs after the bowed-rotor cooling phase and upon reaching the combustion speed, wherein fuel is supplied to the gas turbine engine is turned on.

Abstract: A method of operating a turbine engine that includes actuating a starter motor of the turbine engine such that a motoring speed of the turbine engine increases, and actuating a plurality of variable stator vanes of the turbine engine such that the plurality of variable stator vanes are at least partially open to control the motoring speed of the turbine engine.

Abstract: Various implementations include control mechanisms for conversation assistance audio devices. In some cases, an interface with a representation of the conversation assistance audio device in space is used to control audio functions in the device. In other cases, directionality of the device is controlled based upon the user's visual focus direction. In additional cases, the operating mode of the device is adjustable based upon the signature of a nearby acoustic signal.

Abstract: Various implementations include conversation assistance audio devices with settings that are adjustable based upon user feedback. In some cases, the conversation assistance audio device is configured to use a set of simulated audio environments to personalize audio settings for a user. In other cases, the conversation assistance audio device is configured to iteratively adjust audio settings from a baseline set of audio settings in response to user commands.

Abstract: Systems, methods, and apparatus are provided for equalization preference learning for digital audio modification. A method for listener calibration of an audio signal includes modifying a reference sound using at least one equalization curve; playing the modified reference sound for a listener; accepting listener feedback regarding the modified reference sound; and generating a weighting function based on listener feedback. A listener audio configuration system includes an output providing a sound for listener review; an interface accepting listener feedback regarding the sound; and a processor programming an audio device based on listener feedback.