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 system for detecting, classifying and tracking unmanned aerial vehicles (UAVs) comprising: at least one microphone array arranged to provide audio data; at least one camera arranged to provide video data; and at least one processor arranged to generate a spatial detection probability map comprising a set of spatial cells. The processor assigns a probability score to each cell as a function of: an audio analysis score generated by comparing audio data to a library of audio signatures; an audio intensity score generated by evaluating a power of at least a portion of a spectrum of the audio data; and a video analysis score generated by using an image processing algorithm to analyse the video data. The system is arranged to indicate that a UAV has been detected in one or more spatial cells if the associated probability score exceeds a predetermined detection threshold.

A system for detecting, classifying and tracking unmanned aerial vehicles (UAVs) comprising: at least one microphone array arranged to provide audio data; at least one camera arranged to provide video data; and at least one processor arranged to generate a spatial detection probability map comprising a set of spatial cells. The processor assigns a probability score to each cell as a function of: an audio analysis score generated by comparing audio data to a library of audio signatures; an audio intensity score generated by evaluating a power of at least a portion of a spectrum of the audio data; and a video analysis score generated by using an image processing algorithm to analyse the video data. The system is arranged to indicate that a UAV has been detected in one or more spatial cells if the associated probability score exceeds a predetermined detection threshold.

A method and apparatus for selecting a voice-enabled device are disclosed. The voice-enabled device selecting apparatus may reduce the amount of communication load between a home IoT server and home IoT devices and minimize the amount of computation of the home IoT server by obtaining information related to the direction from which each voice recognition device receives a wakeup word from a plurality of voice recognition devices, determining the position where the wakeup word is spoken by using the information related to the direction from which the wakeup word is received, and selecting the voice recognition device closest to the speech position as a voice-enabled device. At least one of the voice enable device selecting apparatus, IoT device, and a server may be associated with an artificial intelligence (AI) module, an unmanned aerial vehicle (UAV) (or drone), a robot, an augmented reality (AR) device, a virtual reality (VR) device, and a device related to a 5G service.

Various embodiments are directed to one or more transcoder devices in communication with an input device such as a remote control device and multiple destination devices in which the transcoder device(s) facilitate communication between the remote control and the various destination devices in the vicinity. The transcoder device(s) can also provide the user with an environmental awareness of conditions and events surrounding the user. Other embodiments are described and claimed.

Various embodiments are directed to one or more transcoder devices in communication with an input device such as a remote control device and multiple destination devices in which the transcoder device(s) facilitate communication between the remote control and the various destination devices in the vicinity. The transcoder device(s) can also provide the user with an environmental awareness of conditions and events surrounding the user. Other embodiments are described and claimed.

A method for controlling a robot is provided. The method includes the steps of: acquiring information on a sound associated with a robot call in a serving place; determining a call target robot associated with the sound, among a plurality of robots in the serving place, on the basis of the acquired information; and providing feedback associated with the sound by the call target robot.

A voice enhancement method and apparatus of a smart device and a smart device are disclosed. The method comprises: monitoring and collecting a voice signal sent by a user in real time; determining a direction of the user according to the voice signal; collecting a depth image in the direction of the user; determining a sound source direction of the user according to the depth image; and adjusting a beamforming direction of a microphone array on the smart device according to the sound source direction of the user, and performing enhancement processing on the voice signal.

Apparatus is provided featuring a signal processing module configured to receive signaling containing information about detected acoustic emissions related to ore being mined from a block cave in a block caving process, including falling ore that creates unique acoustic signatures; and determine information about the ore being mined from the block cave in the block caving process, based at least partly on the signaling received. The signal processing module may receive the signaling from an array of acoustic sensors placed around the block cave, including where the array of acoustic sensors surrounds the block cave in both vertical and horizontal directions. The signal processing module may provide corresponding signaling containing corresponding information about the ore being mined from the block cave in the block caving process, including where the corresponding information includes information about a distribution and size of the ore being mined from the block cave in the block caving process.