Harman International Industries, Inc.

Ossic Corporation

Joy Lyons

Jason M Riggs

Nicholas Millias

Aderito Beltran

Alfredo Fernandez Franco

David Carr

Jose Arjol Acebal

Sean Edward Olive

Andrey Viktorovich Filimonov

Jason Riggs

Mikhail Sergeevich Kleshnin

Jeong-Woo Kim

Thomas Wahnish

Anna Yurievna Kerbeneva

A computer-implemented method for determining a frequency response of an audio system, the method comprising: training a Generative Adversarial Network, GAN, discriminator on a first training dataset comprising measured frequency responses of reference audio systems to a test signal and an evaluator scoring of the audio system to predict a predicted scoring for the reference audio systems, training a GAN generator on a second training dataset comprising evaluator scorings to predict a predicted frequency response for the reference audio systems, wherein training the GAN generator comprises processing the predicted frequency response by the trained GAN discriminator to predict a predicted scoring; and processing a production dataset comprising an input scoring of a production audio system by the trained GAN generator to predict a frequency response of the production audio system.

Method for determining a frequency response of an audio system

A method for playback of an audio signal at an individual seat-based sound (ISS) system in a coherent listening environment having a plurality of ISS systems and a plurality of listening modes. Each ISS system has a single transducer. A listening mode and a set of playback preferences are selected. A crosstalk cancellation algorithm for the ISS system of interest is generated using impulse response measurements of the audio signal, taken only in an acoustical domain, of a transfer function between the audio signal directly after the single transducer in the ISS system of interest and the audio signal at the head of the listener in the ISS system of interest. The crosstalk cancellation algorithm for the selected listening mode is applied to the audio signal, and the audio signal is played back at the single transducer of the ISS system of interest.

System and method for creating seat-based low frequency audio playback

A headphone system includes a calibration microphone for performing a calibration routine with a user. The calibration microphone receives a stimulus signal emitted by the headphone system and generates a response signal indicating variations in the stimulus signal that arise due to physiological attributes of the user. Based on the stimulus signal and the response signal, the calibration engine generates response data. The calibration engine processes the response data based on a headphone transfer function (HPTF) associated with the headphone system in order to create an inverse filter that can reduce or remove acoustic variations caused by the headphone system. The calibration engine generates a personalized HRTF for the user based on the response data and the inverse filter. The personalized HRTF can be used to implement highly accurate 3D audio and is thereby well-suited for applications to immersive audio and audio-visual entertainment.

Personalized three-dimensional audio

Techniques for calibrating listening devices are disclosed herein. The techniques include emitting a predetermined audio signal using an outward-facing transducer located on a first portion of a head-mounted device worn by the user, receiving the predetermined audio signal at a microphone located on a second portion of the head-mounted device, the second portion being different from the first portion, determining a transfer function for the user based on the received predetermined audio signal, and applying the transfer function to audio signals transmitted to the user.

Calibrating listening devices

Systems and methods to calibrate listening devices are disclosed herein. In some embodiments, a method to calibrate earphones includes determining a Head Related Transfer Functions (HRTF) corresponding to different parts of a user's anatomy (e.g., one or both of a listener's pinnae). The resulting HRTFs are combined to form a composite HRTF. In some embodiments, a first and a second HRTF are respectively determined for a first and second part of the user's anatomy. A composite HRTF of the user is generated by combining portions of the first and second HRTFs.

Systems and methods of calibrating earphones

Systems and methods of calibrating listening devices are disclosed herein. In one embodiment, a method of calibrating a listening device (e.g., a headset) includes determining head related transfer functions (HRTF) corresponding to different parts of the user's anatomy. The resulting HRTFs are combined to form a composite HRTF.

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San Diego, CA, United States of America

Joy Lyons