Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a mobile device based control device locator. An embodiment operates by receiving a request to locate a control device, transmitting acoustic token transmission information to the control device to activate an electroacoustic transducer on the control device, receiving an acoustic signal including an acoustic token signal from the control device via a plurality of acoustic sensors, and determining distance information of the control device based on the received acoustic token signal generated by the electroacoustic transducer of the control device.

A handheld acoustic imaging tool and method of imaging acoustic signals includes receiving acoustic signals from a scene, identifying a subset of the acoustic signals based on a predetermined condition of an acoustic parameter of the acoustic signals, and generating a display image using electromagnetic image data representative of electromagnetic radiation from the scene. The display image visually indicates a location in the scene corresponding to the subset of the acoustic signals. Generating the display image may further include using acoustic image data representative of the subset of the acoustic signals, wherein the electromagnetic image data and the acoustic image data are shown together in the display image. In some cases, the acoustic image data in the display image may be palettized according to the acoustic parameter, for example according to an amount, an amount of change, or a rate of change, of the acoustic parameter.

A handheld acoustic imaging tool and method of imaging acoustic signals includes receiving acoustic signals from a scene, identifying a subset of the acoustic signals based on a predetermined condition of an acoustic parameter of the acoustic signals, and generating a display image using electromagnetic image data representative of electromagnetic radiation from the scene. The display image visually indicates a location in the scene corresponding to the subset of the acoustic signals. Generating the display image may further include using acoustic image data representative of the subset of the acoustic signals, wherein the electromagnetic image data and the acoustic image data are shown together in the display image. In some cases, the acoustic image data in the display image may be palettized according to the acoustic parameter, for example according to an amount, an amount of change, or a rate of change, of the acoustic parameter.

The present invention generates a correlation function having a clear peak even in an environment with a high ambient noise level. This correlation function generation device is provided with a plurality of input signal acquisition units for acquiring waves generated by a wave source as input signals, a conversion unit for converting the plurality of input signals acquired by the input signal acquisition units into a plurality of frequency-domain signals, a cross-spectrum calculation unit for calculating a cross spectrum on the basis of the frequency domain signals, frequency-specific cross-spectrum calculation units for calculating cross spectrums for each frequency on the basis of the cross spectrum, and an integrated correlation function calculation unit for calculating an integrated correlation function on the basis of the frequency-specific cross spectrums.

Embodiments of the present disclosure provide a positioning system and positioning method. A reverse calibrator for respectively calibrating relative coordinates of at least three ultrasound generators; a processor for generating a carrier signal, multiplying the carrier signal with a spread spectrum pseudo random code to obtain ranging signal, controlling each ultrasound generator to emit ranging signal, and extracting acoustic characteristic parameter of the ranging signals; a device being positioned for capturing ranging signals emitted by each generator, extracting acoustic characteristic parameter of each of the captured ranging signals; determining an ultrasonic delay time of each ultrasonic ranging signal; calculating relative coordinates of the device.

Embodiments of the present disclosure provide a positioning system and positioning method. A reverse calibrator for respectively calibrating relative coordinates of at least three ultrasound generators; a processor for generating a carrier signal, multiplying the carrier signal with a spread spectrum pseudo random code to obtain ranging signal, controlling each ultrasound generator to emit ranging signal, and extracting acoustic characteristic parameter of the ranging signals; a device being positioned for capturing ranging signals emitted by each generator, extracting acoustic characteristic parameter of each of the captured ranging signals; determining an ultrasonic delay time of each ultrasonic ranging signal; calculating relative coordinates of the device.

A method and apparatus for auto-directive adaptive beamforming for a microphone array using microelectromechanical systems (MEMS) sensor orientation information are provided. The microphone array captures audio and the MEMS sensor detects an orientation of the microphone array. A direction of arrival of a source signal is estimated based on the data representative of the audio. A change in an orientation of the microphone array is detected based on the orientation and the direction of arrival is compensates based on the change in the orientation of the microphone array. The apparatus pre-steers a beam of a beam pattern of the microphone array based on the compensated direction of arrival to retain the source signal in a broadside of the microphone array and performs adaptive wideband beamforming to null one or more interfering sources in the beam pattern while retaining the source signal in the broadside of the microphone array.

An ultrasonic measurement device includes an ultrasonic transceiver transmitting an ultrasonic wave and receiving a reflected wave from a target so as to output a reception signal, a scanner moving a transmission/reception position where the ultrasonic transceiver transmits and receives the ultrasonic wave along a first direction, and a position measurer measuring a position of the target. When the position measurer detects a plurality of reception signals corresponding to a plurality of reflection components caused by a difference in distances from the target at a first transmission/reception position in the first direction, the position measurer selects the reception signal based on a ratio between a voltage of the reception signals at a comparison transmission/reception position different from the first transmission/reception position and a voltage of the reception signals at the first transmission/reception position, and measures the position of the target based on the selected reception signal.

An ultrasonic measurement device includes an ultrasonic transceiver transmitting an ultrasonic wave and receiving a reflected wave from a target so as to output a reception signal, a scanner moving a transmission/reception position where the ultrasonic transceiver transmits and receives the ultrasonic wave along a first direction, and a position measurer measuring a position of the target. When the position measurer detects a plurality of reception signals corresponding to a plurality of reflection components caused by a difference in distances from the target at a first transmission/reception position in the first direction, the position measurer selects the reception signal based on a ratio between a voltage of the reception signals at a comparison transmission/reception position different from the first transmission/reception position and a voltage of the reception signals at the first transmission/reception position, and measures the position of the target based on the selected reception signal.

The reliable differentiation of human and artificial talkers is important for many automatic speaker verification applications, such as in developing anti-spoofing countermeasures against replay attacks for voice biometric authentication. A multi-microphone approach may exploit small movements of human talkers to differentiate between a human talker and an artificial talker. One method of determining the presence or absence of talker movement includes monitoring the variation of the inter-mic frequency-dependent phase profile of the received microphone array data over a period of time. Using spatial information with spectral-based techniques for determining whether an audio source is a human or artificial talker may reduce the likelihood of success of spoofing attacks against a voice biometric authentication system. The anti-spoofing countermeasure may be used in electronic devices including smart home devices, cellular phones, tablets, and personal computers.