An intelligent assistant records speech spoken by a first user and determines a self-selection score for the first user. The intelligent assistant sends the self-selection score to another intelligent assistant, and receives a remote-selection score for the first user from the other intelligent assistant. The intelligent assistant compares the self-selection score to the remote-selection score. If the self-selection score is greater than the remote-selection score, the intelligent assistant responds to the first user and blocks subsequent responses to all other users until a disengagement metric of the first user exceeds a blocking threshold. If the self-selection score is less than the remote-selection score, the intelligent assistant does not respond to the first user.

A method for spatial audio signal processing including: determining at least one first direction parameter for at least one frequency band based on microphone signals received from a first microphone array; determining at least one second direction parameter for the at least one frequency band based on at least one microphone signal received from at least one second microphone, wherein microphones from the first microphone array and the at least one second microphone are spatially separated from each other; processing the determined at least one first direction parameter and the at least one second direction parameter to determine at least one distance parameter for the at least one frequency band; and enabling an output and/or store of the at least one distance parameter, at least one audio signal, and the at least one first direction parameter.

A three-dimensional (3D) sound localization method, comprising: evaluating distances between a target object and multiple microphones; distinguishing a quadrant in which the target object is located; evaluating multiple elevation angles and azimuth angles of the target object according to spatial coordinates of each of the microphones; setting searching intervals of distance variables between the target object and each of the microphones; generating multiple test points according to the elevation angles, the azimuth angles and the searching intervals of the distance variables; calculating fitness of each of the test points; obtaining fitness values of each of the test points and comparing the fitness values between each of the test points; and, when a convergence condition is reached according to the fitness values, generating a positioning result of the target object.

A vehicle driving control apparatus includes a communication interface configured to receive, from a sound sensor, a signal corresponding to sound that is generated in an external environment, and a processor configured to identify a sound object generating the sound, by obtaining a type of the sound object and either one or both of a direction of the sound object and a distance from the sound object to a vehicle including the vehicle driving control apparatus, based on the received signal, and control driving of the vehicle, based on the identified sound object.

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a mobile device based control device locator. An embodiment operates by receiving a request to locate a control device, transmitting acoustic token transmission information to the control device to activate an electroacoustic transducer on the control device, receiving an acoustic signal including an acoustic token signal from the control device via a plurality of acoustic sensors, and determining distance information of the control device based on the received acoustic token signal generated by the electroacoustic transducer of the control device.

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a mobile device based control device locator. An embodiment operates by receiving a request to locate a control device, transmitting acoustic token transmission information to the control device to activate an electroacoustic transducer on the control device, receiving an acoustic signal including an acoustic token signal from the control device via a plurality of acoustic sensors, and determining distance information of the control device based on the received acoustic token signal generated by the electroacoustic transducer of the control device.

The invention is a method for identifying aircraft, flying at supersonic speeds, that exceed a specified noise condition in a defined geographical area that may be employed once restrictions to supersonic aircraft flights over the United States are lifted.

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a mobile device based control device locator. An embodiment operates by receiving a request to locate a control device, transmitting acoustic token transmission information to the control device to activate an electroacoustic transducer on the control device, receiving an acoustic signal including an acoustic token signal from the control device via a plurality of acoustic sensors, and determining distance information of the control device based on the received acoustic token signal generated by the electroacoustic transducer of the control device.

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a mobile device based control device locator. An embodiment operates by receiving a request to locate a control device, transmitting acoustic token transmission information to the control device to activate an electroacoustic transducer on the control device, receiving an acoustic signal including an acoustic token signal from the control device via a plurality of acoustic sensors, and determining distance information of the control device based on the received acoustic token signal generated by the electroacoustic transducer of the control device.

The present invention provides a method and system for real-time high-precision positioning in the deep sea. The present invention, based on a ray theory model, uses an azimuth angle, a transmission delay, a deep-sea vehicle depth and a depth of an acoustic transducer of a water surface monitoring platform as an eigenray emergence angle, an eigenray transmission time, eigenray emergence depth and an eigenray end point depth respectively, quickly calculates an eigenray that connects the water surface monitoring platform with the deep-sea vehicle, accurately calculates a position of the deep-sea vehicle relative to the water surface monitoring platform, and converts the position into absolute position information of the deep-sea vehicle through the latitude and longitude of the water surface monitoring platform, thereby achieving real-time high-precision positioning.