Abstract: The technology described herein uses a multiple-output layer RNN to process an acoustic signal comprising speech from multiple speakers to trace an individual speaker's speech. The multiple-output layer RNN has multiple output layers, each of which is meant to trace one speaker (or noise) and represent the mask for that speaker (or noise). The output layer for each speaker (or noise) can have the same dimensions and can be normalized for each output unit across all output layers. The rest of the layers in the multiple-output layer RNN are shared across all the output layers. The result from the previous frame is used as input to the output layer or to one of the hidden layers of the RNN to calculate results for the current frame. This pass back of results allows the model to carry information from previous frames to future frames to trace the same speaker.

Abstract: An antenna includes a telescopic antenna and an antenna jacket, where the telescopic antenna extends from a side opening and an exposed part of the telescopic antenna is configured to rotate outside the antenna jacket. The antenna and any one or more antennas of a GPS antenna, a Wi-Fi antenna, and a diversity antenna form a combination antenna. The GPS antenna and other antennas are disposed in an area adjacent to the antenna jacket.

Abstract: Techniques and constructs can reduce the time required to determine solutions to optimization problems such as training of neural networks. Modifications to a computational model can be determined by a plurality of nodes operating in parallel. Quantized modification values can be transmitted between the nodes to reduce the volume of data to be transferred. The quantized values can be as small as one bit each. Quantization-error values can be stored and used in quantizing subsequent modifications. The nodes can operate in parallel and overlap computation and data transfer to further reduce the time required to determine solutions. The quantized values can be partitioned and each node can aggregate values for a corresponding partition.

Abstract: The claimed subject matter includes a system and method for recognizing mixed speech from a source. The method includes training a first neural network to recognize the speech signal spoken by the speaker with a higher level of a speech characteristic from a mixed speech sample. The method also includes training a second neural network to recognize the speech signal spoken by the speaker with a lower level of the speech characteristic from the mixed speech sample. Additionally, the method includes decoding the mixed speech sample with the first neural network and the second neural network by optimizing the joint likelihood of observing the two speech signals considering the probability that a specific frame is a switching point of the speech characteristic.

Abstract: Disclosed is a control method for a display apparatus and a mobile terminal which includes a camera for taking a photograph and generating an image; a voice input unit which is used to input a voice; a user input unit which receives a user's input; a display unit which displays the image thereon; a wireless communication unit which communicates with a counterpart mobile terminal through a wireless network; and a controller which performs a video call by transmitting to the counterpart mobile terminal video call data comprising a video generated by the camera and a voice input by the voice input unit according user input, displays on the display unit a shared image during the video call, and transmits to the counterpart mobile terminal the shared image added to the video call data.

Abstract: A method for providing a search service of a display apparatus includes receiving a selection of an object by displaying a screen that displays at least one object, and providing location information adaptive to the user terminal to the user terminal using all location information of the searched object and information regarding a user location. Accordingly, a user may conveniently search a desired object.

Abstract: Disclosed is a control method for a display apparatus and a mobile terminal which includes a camera for taking a photograph and generating an image; a voice input unit which is used to input a voice; a user input unit which receives a user's input; a display unit which displays the image thereon; a wireless communication unit which communicates with a counterpart mobile terminal through a wireless network; and a controller which performs a video call by transmitting to the counterpart mobile terminal video call data comprising a video generated by the camera and a voice input by the voice input unit according user input, displays on the display unit a shared image during the video call, and transmits to the counterpart mobile terminal the shared image added to the video call data.

Abstract: A device for performing a cooperative function with another device is provided. The device includes a communication unit, and a controller that determines whether the other device is in a surrounding area of the device based a signal received through the communication unit, selects one cooperative function from among a plurality of cooperative functions according to a relative position of the device with respect to the other device and performs the selected cooperative function with the other device.

Abstract: Systems and methods for providing a predictive framework are provided. The predictive framework comprises plural neural layers of adaptable, executable neurons. Neurons accept one or more input signals and produce an output signal that may be used by an upper-level neural layer. Input signals are received by an encoding neural layer, where there is a 1:1 correspondence between an input signal and an encoding neuron. Input signals for a set of data are received at the encoding layer and processed successively by the plurality of neural layers. An objective function utilizes the output signals of the topmost neural layer to generate predictive results for the data set according to an objective. In one embodiment, the objective is to determine the likelihood of user interaction with regard to a specific item of content in a set of search results, or the likelihood of user interaction with regard to any item of content in a set of search results.

Abstract: A method for controlling an electronic apparatus which uses voice recognition, and an electronic apparatus applying the same are provided. The method includes, in response to a voice start command being input through a first microphone included in the electronic apparatus, converting a mode of the electronic apparatus to a first voice task mode and displaying a first icon corresponding to the first voice task mode; in response to the voice start command being input through a second microphone included in a remote control device, converting the mode of the electronic apparatus to a second voice task mode and displaying a second icon corresponding to the second voice task mode; displaying voice guide information; and in response to a user voice being input while the voice guide information is displayed, displaying a list including a plurality of items related to the user voice.

Abstract: A display method includes displaying content on a screen and if a non-contact user motion having directivity is input, analyzing a direction of input non-contact user motion and dividing the screen into plural screens according to the directivity of the non-contact user motion.

Abstract: A vehicle information providing method and a terminal applying the same are provided. The vehicle information providing method includes communicably connecting to a Global Positioning System (GPS) mounted on a vehicle, receiving location information from the GPS and receiving vehicle information from a vehicle information system based on the received location information. Accordingly, the terminal may receive the location information of the vehicle inside the vehicle even though the terminal has no GPS.

Abstract: A device for performing a cooperative function with another device is provided. The device includes a communication unit; and a controller that determines whether the other device is in a surrounding area of the device based a signal received through the communication unit, selects one cooperative function from among a plurality of cooperative functions according to a relative position of the device with respect to the other device and performs the selected cooperative function with the other device.

Abstract: A method for managing user schedule and a device using the same are provided. The information stored in an external device is received and added to an existing user schedule. Accordingly, it is possible to integrally manage the user schedules scattered at different locations, and provide improved convenience of using user schedules.

Abstract: The technology described herein uses a multiple-output layer RNN to process an acoustic signal comprising speech from multiple speakers to trace an individual speaker's speech. The multiple-output layer RNN has multiple output layers, each of which is meant to trace one speaker (or noise) and represent the mask for that speaker (or noise). The output layer for each speaker (or noise) can have the same dimensions and can be normalized for each output unit across all output layers. The rest of the layers in the multiple-output layer RNN are shared across all the output layers. The result from the previous frame is used as input to the output layer or to one of the hidden layers of the RNN to calculate results for the current frame. This pass back of results allows the model to carry information from previous frames to future frames to trace the same speaker.

Abstract: Disclosed is a control method for a display apparatus and a mobile terminal which includes a camera for taking a photograph and generating an image; a voice input unit which is used to input a voice; a user input unit which receives a user's input; a display unit which displays the image thereon; a wireless communication unit which communicates with a counterpart mobile terminal through a wireless network; and a controller which performs a video call by transmitting to the counterpart mobile terminal video call data comprising a video generated by the camera and a voice input by the voice input unit according user input, displays on the display unit a shared image during the video call, and transmits to the counterpart mobile terminal the shared image added to the video call data.

Abstract: A device for performing a cooperative function with another device is provided. The device includes a communication unit; and a controller that determines whether the other device is in a surrounding area of the device based a signal received through the communication unit, selects one cooperative function from among a plurality of cooperative functions according to a relative position of the device with respect to the other device and performs the selected cooperative function with the other device.

Abstract: The invention provides novel immune regulatory oligonucleotides (IRO) as antagonist of TLRs and methods of use thereof. These IROs have unique sequences that inhibit or suppress TLR-mediated signaling in response to a TLR ligand or TLR agonist. The methods may have use in the prevention and treatment of cancer, an autoimmune disorder, airway inflammation, inflammatory disorders, infectious disease, skin disorders, allergy, asthma or a disease caused by a pathogen.

Abstract: A method of generating interaction activity information, performed by a device, is provided. The method includes establishing communication with at least one external apparatus; receiving first information about a user selectable function of the external apparatus; and generating second information, based on the first information, about a user selectable function of the device, wherein the user selectable function of the device corresponds to the user selectable function of the external device and can be performed in collaboration with the external device.

Abstract: The claimed subject matter includes a system and method for recognizing mixed speech from a source. The method includes training a first neural network to recognize the speech signal spoken by the speaker with a higher level of a speech characteristic from a mixed speech sample. The method also includes training a second neural network to recognize the speech signal spoken by the speaker with a lower level of the speech characteristic from the mixed speech sample. Additionally, the method includes decoding the mixed speech sample with the first neural network and the second neural network by optimizing the joint likelihood of observing the two speech signals considering the probability that a specific frame is a switching point of the speech characteristic.