An audio capture device generates two microphone beam patterns with different directivity indices. The audio capture device may determine the position of a user relative to the audio capture device based on sounds detected by the separate microphone beam patterns. Accordingly, the audio capture device allows the determination of the position of the user without the complexity and cost of using a dedicated listening device and/or a camera. In particular, the audio capture device does not need to be immediately proximate to the user (e.g., held near the ear of the user) and may be used to immediately provide other services to the user (e.g., audio/video playback, telephony functions, etc.). The position of the user may include the measured distance between the audio capture device and the user, the proximity of the user relative to another device/object, and/or the orientation of the user relative to the audio capture device.

A mobile body detection device: determines, in the case where a position of a first mobile body and a position of a second mobile body are approximately the same, that a mobile body is detected at the position; and determines, in the case where the position of the first mobile body and the position of the second mobile body are different and any of first reliability and second reliability exceeds a threshold, that a mobile body is detected at a position of a mobile body corresponding to the reliability exceeding the threshold.

A method and apparatus for determining a direction of infrasound. Infrasound is received by a directional infrasound sensor comprising a plurality of channels and a plurality of sensor devices. Each channel in the plurality of channels comprises a single opening at a first end of the channel and a closed end opposite the opening. The opening of each channel in the plurality of channels is pointed in a different direction from the opening of each other channel in the plurality of channels. The plurality of sensor devices includes a sensor device at the closed end of each channel in the plurality of channels. Each sensor device in the plurality of sensor devices is configured to generate a sensor signal in response to pressure. The sensor signals generated by the plurality of sensor devices are processed to determine the direction of the infrasound received by the directional infrasound sensor.

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.

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.

A mobile body detection means 85: determines, in the case where a position of a first mobile body and a position of a second mobile body are approximately the same, that a mobile body is detected at the position; and determines, in the case where the position of the first mobile body and the position of the second mobile body are different and any of first reliability and second reliability exceeds a threshold, that a mobile body is detected at a position of a mobile body corresponding to the reliability exceeding the threshold.

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.

Techniques for determining a direction of arrival of an emergency are discussed. A plurality of audio sensors of a vehicle can receive audio data associated with the vehicle. An audio sensor pair can be selected from the plurality of audio sensors to generate audio data representing sound in an environment of the vehicle. An angular spectrum associated with the audio sensor pair can be determined based on the audio data. A feature associated with the audio data can be determined based on the angular spectrum and/or the audio data itself. A direction of arrival (DoA) value associated with the sound may be determined based on the feature using a machine learned model. An emergency sound (e.g., a siren) can be detected in the audio data and a direction associated with the emergency relative to the vehicle can be determined based on the feature and the DoA value.

Threat identification devices, systems, and methods are disclosed which identify and locate various threats and provide a variety of countermeasures to reduce the loss of life in an attack. In one implementation, a device is provided with a housing and a plurality of tubes coupled to and extending from the housing. Sensors are located within the tubes for sensing external conditions. A control unit is in electronic communication with the sensors. Upon detection of an external condition, the sensors transmit a signal to the control unit, which activates countermeasures, including rotating light sources to identify the location of the external condition as well as preferred escape routes. The control unit may also transmit signals to other devices in the environment, including video panels and speakers, to provide instructions.

Computing devices and methods utilizing a joint speaker location/speaker identification neural network are provided. In one example a computing device receives an audio signal of utterances spoken by multiple persons. Magnitude and phase information features are extracted from the signal and inputted into a joint speaker location and speaker identification neural network. The neural network utilizes both the magnitude and phase information features to determine a change in the person speaking. Output comprising the determination of the change is received from the neural network. The output is then used to perform a speaker recognition function, speaker location function, or both.