A coprime microphone array (CMA) system, comprising: a CMA arrangement that includes a pair of uniform linear microphone subarrays that are coincident and have a coprime number of microphones; a computing system that processing signals from each microphone in the CMA arrangement and generates sound localization information.

A device for preventing cables against external damage based on sound source localization comprises a power supply unit, and a sound source sensor unit, a camera unit, a signal processing unit and a wireless communication unit which are electrically connected to the power supply unit. The signal processing unit is connected to the sound source sensor unit, the camera unit and the wireless communication unit. The camera unit is associated with the sound source sensor unit. When the sound source sensor unit recognizes a target signal, the signal processing unit sends a trigger signal to the camera unit, and then the camera unit is triggered to replay a surveillance video to determine whether or not a target really exists. Compared with the prior art, the device has the advantages of being good in safety, high in reliability and the like.

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.

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.

A non-transitory computer-readable storage medium storing a program that causes a processor included in a computer mounted on a sound source direction estimation device to execute a process, the process includes calculating a sound pressure difference between a first voice data acquired from a first microphone and a second voice data acquired from a second microphone and estimating a sound source direction of the first voice data and the second voice data based on the sound pressure difference, outputting an instruction to execute a voice recognition on the first voice data or the second voice data in a language corresponding to the estimated sound source direction, and controlling a reference for estimating a sound source direction based on the sound pressure difference, based on a time length of the voice data used for the voice recognition based on the instruction and a voice recognition time length.

A computer-implemented method of identifying a target includes receiving at least one data input related to the target from at least one data source. At least one acoustic parameter is calculated from the at least one data input. A target identification algorithm is applied to at least one acoustic data parameter. An identification of the target is produced from at least one acoustic parameter when the target identification algorithm is applied thereto. The identification of the target is displayed.

A method for determining an utterance direction includes: executing a first calculation process that includes determining an utterance direction region based on a phase difference of each given frequency between a first frequency signal and a second frequency signal inputted to a first and second voice input section respectively, and performing a process of calculating a first phase difference deviation degree indicating the degree by which the phase difference of each given frequency is deviated from the utterance direction region; executing a second calculation process for calculating a second phase difference deviation degree from the first phase difference deviation degree of the plurality of frames; and executing an utterance direction determination process for determining that a user is uttering a voice to the first voice input section and the second voice input section when the second phase difference deviation degree is equal to or smaller than a first threshold value.

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.

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.

A system that handles direction of arrival (DOA) estimation for acoustic signals using sub-array selection, identifies a plurality of microphone sub-arrays from the plurality of microphones in the microphone-array, selects a set of microphone sub-arrays from the plurality of microphone sub-arrays, and computes a relative time-delay for arrival of the acoustic signals between each pair of microphones of the selected set of microphone sub-arrays. The selection is based on a maximum distance between each pair of microphones of the identified plurality of microphone sub-arrays of the microphone-array. A first microphone sub-array is determined from the selected set of microphone sub-arrays and the DOA of the acoustic signals is estimated with reference to the determined first microphone sub-array. The estimation of the direction of arrival of the acoustic signals is based on the computed relative time-delay for the determined first microphone sub-array of the microphone-array.