17558380. AUTOMATIC SPATIAL CALIBRATION FOR A LOUDSPEAKER SYSTEM USING ARTIFICIAL INTELLIGENCE AND NEARFIELD RESPONSE simplified abstract (Samsung Electronics Co., Ltd.)

AUTOMATIC SPATIAL CALIBRATION FOR A LOUDSPEAKER SYSTEM USING ARTIFICIAL INTELLIGENCE AND NEARFIELD RESPONSE

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Adrian Celestinos Arroyo of Valencia CA (US)

Victor Manuel Chin Lopez of Tijuana (MX)

AUTOMATIC SPATIAL CALIBRATION FOR A LOUDSPEAKER SYSTEM USING ARTIFICIAL INTELLIGENCE AND NEARFIELD RESPONSE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17558380 titled 'AUTOMATIC SPATIAL CALIBRATION FOR A LOUDSPEAKER SYSTEM USING ARTIFICIAL INTELLIGENCE AND NEARFIELD RESPONSE

Simplified Explanation

The patent application describes a method for automatically calibrating the spatial perception of audio in a listening area. This is achieved by estimating distances and incidence angles of loudspeakers relative to the listening area, and applying spatial perception correction to the audio reproduced by the loudspeakers.

• The method estimates distances from loudspeakers to a listening area using a machine learning model and propagation delays.
• It also estimates incidence angles of the loudspeakers relative to the listening area based on the propagation delays.
• Spatial perception correction is then applied to the audio, compensating for any misplacement of the loudspeakers.
• The correction includes delay and gain compensation to ensure accurate spatial perception of the audio.

Potential Applications

• Home theater systems: The method can be used to automatically calibrate the audio setup in a home theater, providing an immersive and accurate sound experience.
• Virtual reality (VR) systems: VR platforms can utilize this method to calibrate the spatial audio perception, enhancing the realism and immersion of the virtual environment.
• Professional audio setups: This technology can be applied in professional audio systems, such as concert venues or recording studios, to ensure optimal sound reproduction for the audience or recording.

Problems Solved

• Misplacement of loudspeakers: The method solves the problem of loudspeakers being incorrectly positioned relative to the listening area, which can result in distorted or inaccurate audio perception.
• Manual calibration complexity: By automating the calibration process, the method eliminates the need for manual adjustments, reducing the complexity and time required for setup.

Benefits

• Improved audio experience: The spatial perception correction ensures that the audio is accurately reproduced, enhancing the listener's experience and immersion.
• Time and effort savings: Automating the calibration process saves time and effort compared to manual adjustments, making it easier for users to set up their audio systems.
• Consistent results: The method provides consistent and reliable calibration results, ensuring that the audio perception is optimized regardless of the specific setup or environment.

Original Abstract Submitted

One embodiment provides a method of automatic spatial calibration. The method comprises estimating one or more distances from one or more loudspeakers to a listening area based on a machine learning model and one or more propagation delays from the one or more loudspeakers to the listening area. The method further comprises estimating one or more incidence angles of the one or more loudspeakers relative to the listening area based on the one or more propagation delays. The method further comprises applying spatial perception correction to audio reproduced by the one or more loudspeakers based on the one or more distances and the one or more incidence angles. The spatial perception correction comprises delay and gain compensation that corrects misplacement of any of the one or more loudspeakers relative to the listening area.