Systems and methods are provided for sensing acoustic signals using a floating base vector sensor. A vector sensor according to an embodiment of the present disclosure can be used to detect and characterize low frequency sound wave(s) in a viscous medium (e.g., air, water, etc.) by detecting a periodic motion of the media particles associated with the sound wave(s). The orientation of the particle velocity deduced from such measurements can provide information regarding the wave vector of the sound wave(s), can define the direction of arrival (DOA) for the acoustic signal, and can assist locating the source of the sound of interest.

Techniques for gunshot detection in an indoor environment are disclosed. A gunshot sensor is placed in the indoor environment. The gunshot sensor includes multiple individual sensors, including, but not limited to, an acoustic sensor and an infrared sensor. A firearm typically emits energy within the infrared spectrum when fired. This energy is detected by the infrared sensor. A firearm also typically emits an acoustic pressure wave when fired. The acoustic sensor detects the acoustic pressure wave. A strobe from a fire alarm occurring near in time to the gunshot can cause false gunshot detection. The infrared sensor information and the acoustic sensor information are analyzed to determine that a gunshot has occurred. The gunshot determination takes place independently of the location of the gunshot sensor. The strobe occurrence is evaluated to provide gunshot false alert detection. Reverberations are not used in the determination of a gunshot false alert.

A material coating system for an apparatus having a housing configured to contain a fluid is disclosed herein. A multi-layer coating is applied to the housing to mitigate damage caused by external factors. The multi-layer coating includes: a layer of a primer coating having anti-corrosive properties, a layer of a mid coating having mechanical and chemical properties capable of at least partially closing a hole in the housing to avoid fluid leakage and optionally a layer of a top coating having properties that resist ultraviolet radiation from passing therethrough.

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.

The present invention relates to a small spatial sound source orientation detecting device, including a circuit board; three or more MEMS acoustic-electric transducers fixedly arranged on the circuit board and centrosymmetric distribution. The distance between adjacent MEMS acoustic-electric transducers is not more than one-half of the shortest wavelength of the sound source signal; and a micro-control unit, each MEMS acoustic-electric transducer is electrically connected to the micro-control unit respectively. The micro-control unit is to obtain the orientation information of the spatial sound source based on the acoustic signals collected by three or more MEMS acoustic-electric transducers. The present invention also provides a spatial sound source orientation detection method. The small spatial sound source orientation detecting device of the present invention has an ultra-small space size, and can accurately detect the orientation information of the sound source.

An object of the present invention is to facilitate recognition of a voice command of a user in a situation where multiple devices including microphones are connected through a sensor network. A relative location of each device is determined and a location and a direction of the user are tracked through a time difference in which the voice command is applied. The command is interpreted based on the location and the direction of the user. Such a method as a method for a sensor network, Machine to Machine (M2M), Machine Type Communication (MTC), and Internet of Things (IoT) may be used for an intelligent service (smart home, smart building, etc.), digital education, security and safety related services, and the like.

An object of the present invention is to facilitate recognition of a voice command of a user in a situation where multiple devices including microphones are connected through a sensor network. A relative location of each device is determined and a location and a direction of the user are tracked through a time difference in which the voice command is applied. The command is interpreted based on the location and the direction of the user. Such a method as a method for a sensor network, Machine to Machine (M2M), Machine Type Communication (MTC), and Internet of Things (IoT) may be used for an intelligent service (smart home, smart building, etc.), digital education, security and safety related services, and the like.

An audio processing device includes: a sound source localizing unit configured to determine a localized sound source direction, which is a direction of a sound source, on the basis of audio signals of a plurality of channels acquired from M (here, M is an integer equal to or greater than 3) sound receiving units of which positions are different from each other; and a sound source position estimating unit configured to, for each set of two sound receiving units, estimate a midpoint of a segment perpendicular to both of half lines directed in estimated sound source directions, which are directions from the sound receiving units to an estimated sound source position of the sound source, as the estimated sound source position.

Computing devices and methods utilizing a joint speaker location/speaker identification neural network are provided. In one example a computing device receives a multi-channel audio signal of an utterance spoken by a user. Magnitude and phase information features are extracted from the signal and inputted into a joint speaker location/speaker identification neural network that is trained via utterances from a plurality of persons. A user embedding comprising speaker identification characteristics and location characteristics is received from the neural network and compared to a plurality of enrollment embeddings extracted from the plurality of utterances that are each associated with an identity of a corresponding person. Based at least on the comparisons, the user is matched to an identity of one of the persons, and the identity of the person is outputted.

A method and system for locating a sound source are provide. The method may include detecting a sound signal of a sound by each of two audio sensors. The method may also include converting the sound signals detected by the two audio sensors from a time domain to a frequency domain. The method may further include determining a high frequency ratio of each of the sound signals in the frequency domain. The method may further include determining a direction of the sound source based on the high frequency ratios.