Abstract: A system comprises a sound source to output an audio signal to a plurality of speakers arranged in a plurality of locations in a vehicle. A laser device is disposed on an object representing a human head placed in a seat of the vehicle to scan the locations of the speakers. A microphone is disposed in each ear of the object. A controller routes the audio signal to the speakers one speaker at a time, receives audio signals received via the microphones, and compiles binaural acoustic data for the vehicle based on the audio signals received via the microphones. The controller receives scan data from the laser device and generates geometric data for the vehicle based on the scan data. The controller generates head-related transfer functions (HRTFs) for the object based on the binaural acoustic data and the geometric data for the vehicle.

Abstract: Methods, systems, and program products for generating a virtual studio are disclosed. In one embodiment a method includes processing image information for at least one pinna of a user to generate a head-related transfer function (HRTF) profile of the user. A studio model that includes a studio-specific acoustic profile is accessed such as by a virtual studio client application executing on a laptop. An audio configuration of the studio model is selected based on the studio-specific acoustic profile. An audio media source is activated and the audio configuration is applied in combination with the HRTF profile of the user to audio generated by the audio media source.

Abstract: An application such as a machine learning workflow manager executes a machine learning workflow utilizing varying sets of parameters and tracks the utilized parameters and performance metrics for each execution. The manager generates a unique experiment identifier (ID) for each set of parameters used for executing a workflow and stores the experiment ID and the set of parameters along with results of the execution, e.g., performance metrics, output data, program code, etc. In some implementations, the manager can algorithmically generate sets of parameters for experiments of the workflow. Once experimentation for the workflow is complete, the manager utilizes the stored performance metrics to identify an experiment which exhibited the best performance and can retrieve the set of parameters, output data, or generated program code for deployment of the workflow using the associated experiment ID.

Abstract: Spatial audio is received from an audio server over a first communication link. The spatial audio is converted by a cloud spatial audio processing system into binaural audio. The binauralized audio is streamed from the cloud spatial audio processing system to a mobile station over a second communication link to cause the mobile station to play the binaural audio on the personal audio delivery device.

Abstract: Ambisonic audio is converted to binaural audio based on head related impulse responses (HRIRs) associated with sound sources located symmetric with respect to a head of a listener. The HRIRs associated with sound sources located symmetric with respect to the head of the listener are mapped to HRIR pairs associated with sound sources located on one side of the head of the listener based on the symmetry of the sound source locations. A sequence of HRIRs based on the mapped left HRIRs or a sequence of HRIRs based on the mapped right HRIRs are input into a spherical harmonics converter which outputs respective left spherical harmonics or right spherical harmonics. Ambisonic audio is binauralized based on the left spherical harmonics and the right spherical harmonics.

Abstract: A first microphone on a first earpiece of a personal audio delivery device measures a first head related transfer function (HRTF) associated with a sound source. A second microphone on an earpiece of a personal audio delivery device measures a second HRTF associated with the sound source. An interaural time difference (ITD) is determined based on the first HRTF and second HRTF. A determination is made that the sound source is located in a first region based on the interaural time difference. A determination is made that the sound source is located in a second region within the first region based on the ITD of the first HRTF and the second HRTF and an ITD associated with third HRTFs for the second region. A location of the sound source is determined within the second region, which in some examples, is improved with a Kalman filter model.

Abstract: A head related transfer function (HRTF) associated with a first spatial location grid is received. The first spatial location grid defines a plurality of head related impulse responses (HRIRs) and respective indications of where a sound source is physically located. A second spatial location grid is received. Given locations in the first spatial location grid within a predetermined distance from a target location in the second spatial location grid are determined. An acute triangle is formed based on one or more of the given locations in the first spatial location grid, where the target location in the second spatial location grid is within the acute triangle. Gain weights are determined based on the one or more of the given locations and the target location. The gain weights are applied to a respective HRIR associated with the one or more of the given locations to determine an HRIR associated with the target location which is output.

Abstract: A video is received from a video capture device. The video capture device has a front facing camera and a display screen which displays the video captured by the video capture device in real time to a user. One or more images of a pinna and head of the user in the video are used to automatically determine one or more features associated with the user. The one or more features include an anatomy of the user, a demographic of the user, a latent feature of the user, and an indication of an accessory worn by the user. Based on the one or more features and one or more HRTF models, a head related transfer function (HRTF) is determined which is personalized to the user.

Abstract: An image of a pinna is captured. Based on the image of the pinna, a non-linear transfer function is determined which characterizes how sound is transformed at the pinna. A signal is output indicative of one or more audio cues to facilitate spatial localization of sound via the pinna, where the one or more audio cues is based on the non-linear transfer function.

Abstract: An image of a pinna is captured. Based on the image of the pinna, a non-linear transfer function is determined which characterizes how sound is transformed at the pinna. A signal is output indicative of one or more audio cues to facilitate spatial localization of sound via the pinna, where the one or more audio cues is based on the non-linear transfer function.

Abstract: A signal indicative of sound detected by at least one sensor at an audio device is received. The audio device may at least partially covers a pinna and the detected sound may interact with at least a torso of a human body, but can also interact with the head and shoulder. The signal is modulated with a non-linear transfer function to generate a modulated signal indicative of one or more audio cues for spatializing the detected sound while the audio device at least partially covers a pinna. Sound is output by the audio device based on the modulated signal.

Abstract: An image sensor in a first earcup captures an image of a pinna. First sound is output by a transducer in a second earcup located at the pinna and respective second sound is detected by each of one or more microphones in the second earcup located at the pinna. Based on the captured image and the respective second audio sound from each of the one or more microphones, a non-linear transfer function is determined which characterizes how sound is transformed by the pinna. A signal is generated indicative of one or more audio cues for spatializing third sound based on the determined non-linear transfer function.

Abstract: A first sound is output by a first transducer in an earcup located at a pinna. Respective second sound based on the output of the first audio sound is detecting by each of one or more microphones in the earcup located at the pinna. Based on the respective detected second sound, a non-linear transfer function is determined which characterizes how sound is transformed via the pinna. A signal indicative of one or more audio cues for spatializing third sound is generated based on the determined non-linear transfer function.

Abstract: A magnetic sensor mounted on a headband of the personal audio delivery device may output a sensor signal indicative of an interaction between a magnetic field of a transducer of a personal audio delivery device and the magnetic sensor. A head size of a head on which the personal audio delivery device is worn is calculated based on the sensor signal from the magnetic sensor. Based on the head size, a non-linear transfer function is identified which characterizes how sound is transformed via the head with the calculated head size. An output signal is generated indicative of one or more audio cues to facilitate spatialization of sound associated with the output signal based on the identified non-linear transfer function. The sound associated with the output signal is output by the transducer of the personal audio delivery device.