A method for locating a mobile device is disclosed. Initially, a set of modulated ultrasound signals and a set of radio signals are separately broadcast from a group of transmitters. The ultrasound signals include at least one symbol configured for pulse compression. After the receipt of a demodulated ultrasound signal from a mobile device, wherein the demodulated ultrasound signal is derived from the modulated ultrasound signals, transmitter identifier and timing information are extracted from the demodulated ultrasound signal. Timing information include, for example, the arrival time of the demodulated ultrasound signal in relation to the start time of its transmission. After the locations of the transmitters have been ascertained from the transmitter identifier information, the location of the mobile device can be determined based on the timing information and the locations of the transmitters.

A method for providing sound tracking information includes detecting a sound occurred adjacent to a subject vehicle and generating a sound tracking result based at least on sound data regarding detected sound, determining a detect on category as one of a non-vehicle detection, an error detection or a vehicle detection, based at least on the sound tracking result, and determining an error detection index adjusted based at least on the detection category as well as whether a notification based at least on the detection category is generated. Herein, the sound tracking result includes a probability of whether there is at least one other vehicle at each of a plurality of angles in each of a plurality of frames continued according to time.

A vehicle alarm device (200) having a novel structure is provided. The vehicle alarm device (200) includes a sound-source detection device (110), and the sound-source detection device (110) includes a plurality of microphones (116) and a delay circuit (117). As a transistor included in a signal retention circuit (22) inside the delay circuit (117), a transistor including an oxide semiconductor (OS transistor) is used. By the sound-source detection device (110), an extraneous sound is obtained and the sound-source position of the extraneous sound is identified. In the case where it is judged from the relative velocity or the like between the sound source whose position has been identified and the vehicle that the sound source and the vehicle are likely to collide, an acoustic signal for calling attention of the vehicle occupant is output.

A vehicle alarm device (200) having a novel structure is provided. The vehicle alarm device (200) includes a sound-source detection device (110), and the sound-source detection device (110) includes a plurality of microphones (116) and a delay circuit (117). As a transistor included in a signal retention circuit (22) inside the delay circuit (117), a transistor including an oxide semiconductor (OS transistor) is used. By the sound-source detection device (110), an extraneous sound is obtained and the sound-source position of the extraneous sound is identified. In the case where it is judged from the relative velocity or the like between the sound source whose position has been identified and the vehicle that the sound source and the vehicle are likely to collide, an acoustic signal for calling attention of the vehicle occupant is output.

A method for determining position of an aircraft with reference to a location on the ground includes transmitting an acoustic signal from a position on the aircraft to an array of spaced apart acoustic sensors proximate the location. The method includes at least one of (i) determining a time difference of arrival of the acoustic signal between each of the acoustic sensors and a reference acoustic sensor and (ii) determining an arrival time of the acoustic signal at each of the spaced apart acoustic sensors. The position of the aircraft is determined from the time differences of arrival and/or the arrival times.

A method for determining position of an aircraft with reference to a location on the ground includes transmitting an acoustic signal from a position on the aircraft to an array of spaced apart acoustic sensors proximate the location. The method includes at least one of (i) determining a time difference of arrival of the acoustic signal between each of the acoustic sensors and a reference acoustic sensor and (ii) determining an arrival time of the acoustic signal at each of the spaced apart acoustic sensors. The position of the aircraft is determined from the time differences of arrival and/or the arrival times.

The disclosed embodiments disclose methods, apparatuses, systems, devices and computer-readable storage media for processing speech signals. The method comprises: acquiring a real-time image by using an image capturing device, performing facial recognition by using the real-time image, and detecting a period during which a target user makes speech sounds based on a facial recognition result; locating a sound source in an audio signal received by a microphone array, and determining the orientation information of a sound source in the audio signal; and based on the period during which the target user in the real-time image makes the speech sounds and the orientation information of the sound source, performing a speech sound start and end point analysis to determine start and end time points of the speech sounds in the audio signal. The method for processing speech signals according to one embodiment can perform voice activity detection to the speech signal in noisy environments containing multiple sources of interference, thereby improving the anti-interference capability of the system.

An embodiment of the present invention provides an AI apparatus comprising: a communication unit configured to communicate with a plurality of external AI apparatuses; and a processor configured to: receive sound signals of the user from the plurality of external AI apparatus, calculate a distance and a variation of the distance from each of the plurality of external AI apparatus to the user based on the obtained sound signals, determine a current path of the user based on the calculated distance and the calculated variation of the distance, and determine a future path of the user based on the current path.

An embodiment of the present invention provides an AI apparatus comprising: a communication unit configured to communicate with a plurality of external AI apparatuses; and a processor configured to: receive sound signals of the user from the plurality of external AI apparatus, calculate a distance and a variation of the distance from each of the plurality of external AI apparatus to the user based on the obtained sound signals, determine a current path of the user based on the calculated distance and the calculated variation of the distance, and determine a future path of the user based on the current path.

A data collection device includes a reference signal reception unit that receives a reference signal indicating a first time that is a time measured by an external device, the reference signal being transmitted at first time intervals from the external device, a time signal generation unit that measures a time at second time intervals and generates a time signal indicating a second time that is the measured time, a parameter generation unit that generates a parameter value on the basis of the first time indicated by the reference signal and the second time based on the time signal generated at a point in time when the reference signal is received, a signal reception unit that receives an analog signal indicating a signal waveform of an observed signal, a sampling unit that samples the received analog signal at the second time intervals to generate sampling data, and a data processing unit that performs interpolation processing on the sampling data on the basis of the parameter value.