Abstract: A device for room geometry analysis comprising: a plurality of segments (101-106) built of acoustic metamaterials, each segment (?, ?) acting as a waveguide with a unique transfer function (B(?, ?, ?)); and a processor configured to calculate delays (?(?, ?)) and respective directions (c(?, ?)) of mirror sound sources (721-725) by decomposing a sound signal (?) obtained from a microphone (110) based on the transfer functions (B(?, ?, ?)) of the segments (101-106) and based on a calibration signal (tsp(t)) emitted by a speaker (420).

Abstract: An electronic device includes compressed sensing circuitry including an image sensor to capture an image and output compressed sensing image data. There is processing circuitry to reconstruct in real-time a preview image of the compressed sensing image data. A display screen displays the preview image which has been reconstructed.

Abstract: A compressive sensing capturing device has circuitry, which is configured to obtain compressive sensing image data; and to set a device attribute based on image attribute data, wherein the image attribute data are based on a machine learning algorithm performed in the compressing domain on the obtained compressive sensing image data.

Abstract: An electronic device comprising a processor which is configured to perform speech recognition on an audio signal, linguistically analyze the output of the speech recognition for named-entities, perform an Internet or database search for the recognized named-entities to obtain query results, and display, on a display of the electronic device, information obtained from the query results on a timeline.

Abstract: A computer-implemented method of generating a modified artificial neural network (ANN) from a base ANN having an ordered series of two or more successive layers of neurons, each layer passing data signals to the next layer in the ordered series, the neurons of each layer processing the data signals received from the preceding layer according to an activation function and weights for that layer comprises: detecting the data signals for a first position and a second position in the ordered series of layers of neurons; generating the modified ANN from the base ANN by providing an introduced layer of neurons to provide processing between the first position and the second position with respect to the ordered series of layers of neurons of the base ANN; deriving an initial approximation of at least a set of weights for the introduced layer using a least squares approximation from the data signals detected for the first position and a second position; and processing training data using the modified ANN to train the

Abstract: A computer-implemented method of generating a derived artificial neural network (ANN) from a base ANN comprises initialising a set of parameters of the derived ANN in dependence upon parameters of the base ANN; inferring a set of output data from a set of input data using the base ANN; quantising the set of output data; and training the derived ANN using training data comprising the set of input data and the quantised set of output data.

Abstract: A computer-implemented method of training an artificial neural network (ANN) by generating a first learned parameter for use in normalising input data values during a subsequent inference phase of the trained ANN. The method includes, for each of a series of batches of training data values, deriving a batch variance of the batch of training data values and a running variance of all training data values already processed in the training phase; generating an approximation of a current value of the first learned parameter so that a first scaling factor dependent upon the approximation of the first learned parameter and the running variance, is constrained to be equal to a power of two; and normalizing the batch of input data values by a second scaling factor dependent upon the approximation of the current value of the first learned parameter and the batch variance.

Abstract: The present technology relates to a sound source separation device that enables to achieve higher separation performance, and a method and a program. The sound source separation device includes a combining unit that combines a first sound source separation signal of a predetermined sound source, the first sound source separation signal being separated from a mixed sound signal by a first sound source separation system, with a second sound source separation signal of the sound source, the second sound source separation signal being separated from the mixed sound signal by a second sound source separation system that differs in separation performance from the first sound source separation system in predetermined units of time, and that outputs a sound source separation signal obtained by the combination. The present technology can be applied to the sound source separation device.

Abstract: An electronic device comprising circuitry configured to record sensor data that is obtained from data sources and to retrieve information from the recorded sensor data using concepts that are defined by a user.

Abstract: A mobile device comprises a sensor and a processor. The sensor is configured to wirelessly receive an identification signal including an item identifier code, the identification signal being emitted by a low-rate transmission device associated with an item, wherein the sensor receives the identification signal from a direction of the item. The processor is configured to generate an output signal based on the item identifier code.

Abstract: An apparatus comprising circuitry that implements an artificial neural network training algorithm that uses weight tying.

Abstract: A compressive sensing capturing device has circuitry, which is configured to obtain compressive sensing image data; and to set a device attribute based on image attribute data, wherein the image attribute data are based on a machine learning algorithm performed in the compressing domain on the obtained compressive sensing image data.

Abstract: In method the following is performed: receiving input audio content representing mixed audio sources; separating the mixed audio sources, thereby obtaining separated audio source signals and a residual signal; and generating output audio content by mixing the separated audio source signals and the residual signal.

Abstract: An electronic device has a display and a circuitry. The circuitry is configured to obtain location information of a specific item of multiple items located in an environment, wherein the location information of the specific item is obtained based on a correlation between location tracking information of electronic devices moving in the environment and item list data representing items of the multiple items being purchased by users of the electronic devices for which the location tracking information has been provided; and display an indication of the location of the specific item on the display.

Abstract: An electronic device, comprising a processor which is configured to reconstruct in real-time a preview image of compressed sensing image data.

Abstract: A method including decomposing a magnitude part of a signal spectrum of a mixture signal into spectral components, each spectral component including a frequency part and a time activation part; and clustering the spectral components to obtain one or more clusters of spectral components, wherein the clustering of the spectral components is computed in the time domain.

Abstract: An electronic device comprising circuitry configured to record sensor data that is obtained from data sources and to retrieve information from the recorded sensor data using concepts that are defined by a user.

Abstract: An electronic device comprising circuitry configured to: obtain information representing a person's knowledge and/or skills; update a user model representing the person's knowledge and/or skills based on the obtained information; and provide user-adaptive information depending on the user model.

Abstract: An electronic device comprising a processor which is configured to perform speech recognition on an audio signal, linguistically analyze the output of the speech recognition for named-entities, perform an Internet or database search for the recognized named-entities to obtain query results, and display, on a display of the electronic device, information obtained from the query results on a timeline.

Abstract: A mobile device comprises a sensor and a processor. The sensor is configured to wirelessly receive an identification signal including an item identifier code, the identification signal being emitted by a low-rate transmission device associated with an item, wherein the sensor receives the identification signal from a direction of the item. The processor is configured to generate an output signal based on the item identifier code.