Acoustic signals from an acoustic event are captured via sensing nodes of sensor group(s) that comprise a group of sensing nodes at a location comprising spatial boundaries. Each of the sensing nodes comprise a sensor area. Each of the sensor group(s) is based on: range limits of each of the sensing nodes; shared sensing areas of the sensing nodes; and intersections between the sensor area for each of the sensing nodes and the spatial boundaries. Solutions(s) are generated by processing the acoustic signals. The solution(s) indicate the location of the acoustic event. A strength of solution compliance value for at least one of the solution(s) is determined. A refined solution is generated employing: sensor contributions of sensing nodes; and the strength of solution compliance value with the spatial boundaries and at least one of the solution(s). A report is created comprising the location of the acoustic event.

A method for estimating a range of a moving target, the method including emitting, from a target, a first ultrasound signal T, wherein the first ultrasound signal T is generated based on a first differential Zadoff-Chu sequence x; receiving, at a receiver, a second ultrasound signal R, which corresponds to the first ultrasound signal T, wherein the second ultrasound signal R includes a second differential Zadoff-Chu sequence y; correlating the first ultrasound signal T with the second ultrasound signal R to calculate an initial time of flight estimate tau.sub.corr; and calculating an initial range estimate d.sub.corr by multiplying the initial time of flight estimate tau.sub.corr with a speed of sound c. A differential Zadoff-Chu sequence is different from a Zadoff-Chu sequence.

Described herein are systems, methods, and non-transitory computer readable media for determining a direction of movement of an authority vehicle in relation to another vehicle such as an autonomous vehicle and initiating or ceasing a vehicle response measure that may have previously been initiated based on the determined direction of movement. A signal source associated with the authority vehicle emits a periodic acoustic signal that is received at one or more audio capture devices, which may be provided at various locations on an exterior of a vehicle. One or more signal characteristics of the acoustic signal can be determined such as frequency, sound intensity, and/or phase. Detected signal characteristic(s) of the acoustic signal can be analyzed, and in some cases, compared against known information such as an expected frequency of the acoustic signal to determine the direction of movement of the authority vehicle in relation to the vehicle.

Systems and methods directed toward acoustic analysis can include an acoustic sensor array comprising a plurality of acoustic sensor elements, an electromagnetic imaging tool, and a processor in communication with the acoustic sensor array and the electromagnetic imaging tool. The processor can be configured to analyze acoustic data to extract one or more acoustic parameters representative of acoustic signals at one or more locations in an acoustic scene and generate a display image that includes electromagnetic image data and acoustic image data. The display image can further include information indicative of the one or more acoustic parameters at one or more locations in the acoustic scene, such as including acoustic image data in the display image at locations in the scene at which the one or more acoustic parameters satisfies a predetermined condition.

An information processing apparatus including an acquisition section that acquires acquire an acoustic signal indicating a sound collection result of a sound collection device group and a control section that calculates a first weight in accordance with a degree to which the acoustic signal acquired by the acquisition section is a signal obtained by observing stationary noise and to apply the first weight to a noise spatial correlation matrix that is a spatial correlation matrix obtained from a noise signal.

A method and system for identifying a sensor node located closest to the origin of an audio signal. There can be at least three sensor nodes connected to a computational node, and each sensor node includes an audio directional sensor and a device for providing a reference direction. The sensor nodes can receive the audio signal and each audio directional sensor can provide an angle of propagation of the audio signal relative to the reference direction. The angular mean of the measured angles of propagation from all sensor nodes is calculated and the sensor node providing the angle which is closest to the angular mean is defined as the sensor node being closest to the origin of the audio signal.

An apparatus determines a spatial position of an audio source in multi moving audio sources scenarios. The apparatus receives audio signal versions as local sound waves. The apparatus determines first and second probabilities for a direction of arrival of the audio signal version based on the audio signal versions received within a first time interval; determines third and fourth probabilities for the direction of arrival of the audio signal version based on the audio signal versions received within a second time interval; determines a first probability difference between the first and third probabilities; determines a second probability difference between the second and fourth probabilities; combines the third probability and the first probability difference to obtain an updated third probability; combines the fourth probability with the second probability difference to obtain an updated fourth probability; and determines the spatial position based on the updated third and fourth probabilities.

A head-mountable device can include multiple microphones for directional audio detection. The head-mountable device can also include a speaker for audio output and/or a display for visual output. The head-mountable device can be configured to provide visual outputs based on audio inputs by displaying an indicator on a display based on a location of a source of a sound. The head-mountable device can be configured to audio outputs based on audio inputs by modifying an audio output of the speaker based on a detected sound and a target characteristic. Such characteristics can be based on a direction of a gaze of the user, as detected by an eye sensor.

Systems and methods directed toward acoustic analysis can include a plurality of acoustic sensor arrays, each including a plurality of acoustic sensor elements, and a processor in communication with the plurality of acoustic sensor arrays. The processor can be configured to select one or more of the plurality of acoustic sensor arrays based on one or more input parameters, and generate acoustic image data representative of an acoustic scene based on received acoustic data from the selected one or more acoustic sensor arrays. Such input parameters can include distance information and/or frequency information. Different acoustic sensor arrays can share acoustic sensor elements in common or can be entirely separate from one another. Acoustic image data can be combined with electromagnetic image data from an electromagnetic imaging tool to generate a display image.

An electronic apparatus and a controlling method thereof are provided. The electronic apparatus includes a communication interface configured to communicate with other electronic apparatuses, a memory configured to store location information of the electronic apparatus and the other electronic apparatuses, a microphone configured to detect sound using a plurality of channels, and a processor configured to, based on a voice recognition function being activated, perform a voice recognition operation regarding a user's uttered voice received through the microphone, based on a trigger voice being identified through the microphone, identify an utterance direction of the trigger voice, control the communication interface to share the identified utterance direction with the other electronic apparatuses, estimate an utterance location based on information regarding the utterance direction received from the other electronic apparatuses and the identified utterance direction, and activate a voice recognition function based on the stored location information and the estimated utterance location.