Abstract: 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.

Abstract: One embodiment provides a computer-implemented method that includes acquiring, via at least one microphone, sound pressure data from a loudspeaker in a room. The sound pressure data is input into an artificial intelligence (AI) model. The AI model automatically estimates, without user interaction, at least one of energy average (EA) in a listening area or total sound power (TSP) produced by the loudspeaker. The AI model is trained prior to automatically estimating the at least one of the EA in the listening area or the TSP produced by the loudspeaker.

Abstract: 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.

Abstract: 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.

Abstract: One embodiment provides a computer-implemented method that includes acquiring, via at least one microphone, sound pressure data at one or more discrete frequencies obtained from a frequency response of a loudspeaker in a room. The sound pressure data is input into an artificial intelligence (AI) model that analyses and processes information, and that incorporates a relationship between the frequency response and at least one of an energy average (EA) in a listening area or a total sound power (TSP) produced by the loudspeaker. The AI model automatically estimates, without user interaction, the at least one of the EA in the listening area or the TSP produced by the loudspeaker.

Abstract: One embodiment provides a computer-implemented method that includes acquiring, via at least one microphone, sound pressure data at one or more discrete frequencies obtained from a frequency response of a loudspeaker in a room. The sound pressure data is input into an artificial intelligence (AI) model that analyses and processes information, and that incorporates a relationship between the frequency response and at least one of an energy average (EA) in a listening area or a total sound power (TSP) produced by the loudspeaker. The AI model automatically estimates, without user interaction, the at least one of the EA in the listening area or the TSP produced by the loudspeaker.

Abstract: A method includes detecting, by a speaker system including a microphone, one or more boundaries within a proximity to the speaker system. The speaker system adjusts an output of the speaker system based on the one or more detected boundaries. A sound quality of the speaker system is improved based on adjusting the output.

Abstract: A method includes detecting, by a speaker system including a microphone, one or more boundaries within a proximity to the speaker system. The speaker system adjusts an output of the speaker system based on the one or more detected boundaries. A sound quality of the speaker system is improved based on adjusting the output.

Abstract: One embodiment provides a device comprising a speaker driver, a microphone configured to obtain a measurement of a near-field sound pressure of the speaker driver, and a controller. The controller is configured to determine a velocity of a diaphragm of the speaker driver, and automatically calibrate sound power levels of audio reproduced by the speaker driver based on the velocity and the measurement of the near-field sound pressure to automatically adjust the sound power levels to an acoustic environment of the device.

Abstract: One embodiment provides a device comprising a speaker driver, a microphone configured to obtain a measurement of a near-field sound pressure of the speaker driver, and a controller. The controller is configured to determine a velocity of a diaphragm of the speaker driver, and automatically calibrate sound power levels of audio reproduced by the speaker driver based on the velocity and the measurement of the near-field sound pressure to automatically adjust the sound power levels to an acoustic environment of the device.