Provided is a direction of arrival estimation device wherein: a calculation circuit calculates a frequency weighting factor for each of a plurality of frequency components of signals recorded in a microphone array, on the basis of the differences among unit vectors indicating the directions of the sound sources of each of the plurality of frequency components; and an estimation circuit estimates the direction of arrival of a signal from the sound source, on the basis of the frequency weighting factors.

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.

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.

An audio processing device that determines a correlation between a location of a source of the audio signal associated with the audio command, and a human positioned at the location of the source of the audio signal associated with the audio command. The audio command is identified as originating from the human positioned at the location based on the position data and the location of the source of the audio signal associated with the audio command correlating. Based on identifying the audio command as originating from the human positioned at the location, the audio command is executed.

The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to transmit and receive acoustic signals. Due to relative movements between the mobile communication device and the base transmitter unit, frequencies of the received signals shift due to Doppler effect. The mobile communication device is configured to compensate Doppler frequency shifts in the received acoustic signals prior to performing a deconvolution decoding process. The mobile communication device is further configured to compensate Doppler frequency shifts and perform deconvolution decoding process on acoustic signals received from multiple signal transmission paths.

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.

A method includes acquiring sound signals of a current frame using two microphones, calculating an interaural level difference between the two microphones based on the sound signals of the current frame according to a first preset algorithm, determining whether the interaural level difference satisfies a sound source direction determining condition, determining, based on the interaural level difference, whether the sound signals of the current frame include a backward sound signal if the determining condition is satisfied, filtering out the backward sound signal from the sound signals of the current frame.

Voice recognition image feedback providing system and method capable of providing conveniently various services to a user is disclosed. A voice recognition image feedback device in the system comprises a voice recognition unit configured to recognize user's voice, an image feedback unit configured to output an image corresponding to the voice in a direction where the voice is inputted and a control unit configured to control the voice recognition unit and the image feedback unit. Here, wherein the image is outputted to a user peripheral location area so that the image is shown to the user, the user peripheral location area means an area having a radius of 3 meter based on a point at which the user locates, and at least part of the image is shown in the area having the radius of 3 meter.

Various approaches discussed herein enable techniques for displaying instances of content on a curved display screen. Multiple users of a curved display screen may desire to view separate instances of content on different regions of the same display screen. A location of the separate users may be determined, and a region associated with each user determined and positioned on the display such that the region is within the field of view of the respective user. The content associated with the particular user is displayed in the region of the display that is directed at the associated user.

System and method examples offer ways to count occupants in an area by sound. A system includes a data network, a light fixture having intelligent driver circuitry coupled to a light source, a lighting control device to control a light output and operations of the light source in an area, and a microphone coupled to the lighting control device. The lighting control device includes programming that configures a processor to control the microphone to sample and detect sound in the area, determine a location of the detected sound relative to a position of the microphone coupled to the lighting control device, and increment an occupant counter to correspond to each newly determined location of sound in the area for a predetermined period of time.