A receiving unit is disclosed, including at least three receivers, each configured to receive an ultrasonic signal with a wavelength λ from the transmitting unit. A first receiver is arranged at a distance of at most one half wavelength λ/2 of the ultrasonic signal from a second receiver and from a third receiver. The at least three receivers are arranged in one plane. A processor is configured to determine the respective time-of-flight from the ultrasonic signal received at each of the at least three receivers. The respective time-of-flight is a time that the ultrasonic signal requires from the transmitting unit at a defined start time to the respective receiver. The processor is further configured to determine the three-dimensional position and/or direction of the transmitting unit from the determined times-of-flight and the arrangement of the at least three receivers.

Techniques for improving sound source localization (SSL) are provided. A method for probabilistic SSL using a deep neural network (DNN) may include receiving audio data including a representation of audio such as a wakeword from a microphone array. The audio data may be processed by a DNN to output a plurality of values where each value indicates a probability that the audio originated from a direction corresponding to that value. A sensor may provide computer vision or other data which may be used to inform the plurality of values based on detecting presence of a human or obstacle. A probability that the audio originated from one of the directions of the plurality of directions may be determined based at least in part on the DNN output and the computer vision or other data.

Techniques for improving sound source localization (SSL) are provided. A method for probabilistic SSL using a deep neural network (DNN) may include receiving audio data including a representation of audio such as a wakeword from a microphone array. The audio data may be processed by a DNN to output a plurality of values where each value indicates a probability that the audio originated from a direction corresponding to that value. A sensor may provide computer vision or other data which may be used to inform the plurality of values based on detecting presence of a human or obstacle. A probability that the audio originated from one of the directions of the plurality of directions may be determined based at least in part on the DNN output and the computer vision or other data.

An apparatus including circuitry configured to: determine at least one parameter in relation to microphone acoustics of the apparatus; obtain a machine learning model, wherein the machine learning model is trained with generated input data at least based on the at least one parameter; and process at least one audio signal in relation to the microphone acoustics using the obtained machine learning model.

Geolocated information is communicated to a user based upon a position of smart device in a building as determined by optical recognition of a first visual identifier, a second visual identifier and a third visual identifier. A distance determined from each of the visual identifiers, as well as a direction of interest indicated by a user. A user interface is generated for display on a Smart Device based upon the position of the Smart Device and direction of interest.

A method for spatial audio signal processing including: obtaining, from a first capture device, at least one first audio signal and at least one first direction parameter for at least one frequency band; obtaining, from a second capture device, at least one second audio signal and at least one second direction parameter for the at least one frequency band; obtaining a first position associated with the first capture device; obtaining a second position associated with the second capture device; determining a distance parameter for the at least one frequency band in relation to the first position based, at least partially, on the at least one first direction parameter and the at least one second direction parameter; and enabling an output and/or store of the at least one first audio signal, the at least one first direction parameter and the distance parameter.

An ultrasonic system for determining the location of a driver of a vehicle, includes a hand-held device with at least a first ultrasonic sensor, wherein the first ultrasonic sensor has at least one transmitter, and a motor vehicle having a multiplicity of second ultrasonic sensors, wherein the second ultrasonic sensors each have at least one receiver for receiving signals of the first ultrasonic sensor. A method is disclosed for determining the location of a driver of a vehicle.

In an embodiment, the present invention is a device locationing system operable to dynamically determine the presence of keep-out zones within a venue, and thereafter adjust positional data obtained through the device based on the presence of the previously detected keep-out zones.

In an embodiment, the present invention is a device locationing system operable to dynamically determine the presence of keep-out zones within a venue, and thereafter adjust positional data obtained through the device based on the presence of the previously detected keep-out zones.

The disclosure relates to a system and method for providing enhanced security of physical assets within a physical infrastructure. The method includes receiving an overall layout of the physical infrastructure and multi-modal input with respect to the physical asset from a plurality of sensors installed within the physical infrastructure. The multi-modal input includes acoustic signal generated by or reflected off the physical asset and captured by a set of acoustic sensors. The method further includes generating a digital asset corresponding to the physical asset by determining an identification, a location, a shape, a size, and a behavior of the physical asset based on the multi-modal input and the overall layout, detecting one or more events of interest involving the digital asset based on the behavior of the physical asset, and simulating the one or more events of interest to evaluate a possible fault or a possible security threat.