Abstract: Electronic device includes display, microphone, and processor configured to activate voice input function based on user input, display graphic representation for indicating that the voice input function is activated, provide, on the display, a text display area for displaying text inputted by a plurality of user input methods and a keyboard input interface for receiving a user keyboard input, the plurality of user input methods including user keyboard input method and user voice input method, receive, via the keyboard input interface, the user keyboard input corresponding to a first text, display the first text in the text display area based on receiving the user keyboard input, receive user voice input corresponding to a second text while the keyboard input interface is provided and the voice input function is activated, and display the second text next to the first text in the text display area based on the user voice input.

Abstract: A system includes a memory having instructions stored therein. The system also includes at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to receive an input question in a source language, generate a first similarity score based at least in part on a source-language operand, generate a target-language operand based at least in part on the source-language operand, generate a second similarity score based at least in part on the target-language operand, generate a semantic concept score based at least in part on the first similarity score and the second similarity score, generate a set of ranked answers to the input question (“ranked answer set”) based at least in part on the semantic concept score, and output the ranked answer set.

Abstract: A first vector representation of a first word within a first narrative text and a machine-generated label corresponding to the first word are constructed. Using the first vector representation, an annotator model is trained. The annotator model is configured to produce a set of probabilities, each probability in the set of probabilities representing a probable output annotation corresponding to a word within a narrative text. The training includes minimizing a difference between a first human-generated label corresponding to the first word and a first probable output annotation corresponding to the first word. Using the trained annotator model and a second narrative text, second training data is generated. The trained annotator model is configured to produce an output annotation corresponding to a word within a narrative text. The second training data is usable to train a relation extraction model.

Abstract: An information display method, and apparatus, and devices are provided. The method includes providing an information editing interface; receiving a first type of information input by a user in the information editing interface; obtaining a second type of information corresponding to the first type of information, wherein the second type of information is translation information of the first type of information; and displaying the second type of information in the information editing interface. By adopting the technical solutions of the present disclosure, when the user inputs information in the information editing interface, the information input by the user may be synchronously translated, the translated information is displayed to the user by the information editing interface, so during the process when the user inputs the information, the translation information of the then-input information may be seen in real time, and the translation information may be modified, thereby improving user experience.

Abstract: An example system and method for monitoring digital conversations is described. In particular, conversations are monitored for periods of inactivity, where upon identifying a particular period of inactivity, further communications are automatically generated to refresh and restart the conversations based on one or more predefined messages. In one example method, a communication target is identified, where the communication target is associated with an existing conversation. An inactivity-based rule is associated with the target and the conversation, the rule associated with an inactivity time and at least one message. Activity associated with the conversation is monitored to determine whether a time of inactivity exceeds the inactivity time. In response to determining that the inactivity time exceeds the inactivity-based rule, a new message is automatically generated and transmitted to the target based on the at least one message of the inactivity-based rule.

Abstract: In some embodiments, the present invention provides for an exemplary computer system which includes at least the following components: an adaptive self-trained computer engine programmed, during a training stage, to electronically receive an initial speech audio data generated by a microphone of a computing device; dynamically segment the initial speech audio data and the corresponding initial text into a plurality of user phonemes; dynamically associate a plurality of first timestamps with the plurality of user-specific subject-specific phonemes; and, during a transcription stage, electronically receive to-be-transcribed speech audio data of at least one user; dynamically split the to-be transcribed speech audio data into a plurality of to-be-transcribed speech audio segments; dynamically assigning each timestamped to-be-transcribed speech audio segment to a particular core of the multi-core processor; and dynamically transcribing, in parallel, the plurality of timestamped to-be-transcribed speech audio segm

Abstract: Provided is an information processing device that includes a reception unit that receives inquiry information, an acquisition unit that acquires answer information in response to the inquiry information from at least one or more acquisition destination candidates determined on a basis of the inquiry information, and a sending unit that sends response information that is generated on a basis of the answer information. The acquisition unit sends a request using a common data format to the at least one or more acquisition destination candidates, and acquires the answer information using a common data format based on the request.

Abstract: The present application discloses a multi-media interactive story-telling system that provides natural conversational interactions between a human user and a contributor who appears in multi-media recordings. The multi-media interactive story-telling system includes an intake device for recording interview sessions in which a contributor tells a life story about her life experience. The contributor may rely on a script when creating the life story. The multi-media interactive story-telling system further comprises storage devices for storing the recorded interview sessions and processors for organizing the recorded interview sessions. The multi-media interactive story-telling system further comprises an interactive device for retrieving and playing a recorded interview session in response to a query from a user.

Abstract: Systems and methods are described for concealing packet loss in a received audio stream. Packets of the audio stream may be received in a non-lapped transform domain format, where at least one packet is missing in the stream. The received packets are decoded, and each missing packet in the decoded stream is replaced by a reduced-energy signal block. Each reduced-energy signal block may also be modified at a beginning or ending boundary, and shifted such that a start or end of each missing packet does not coincide with a peak of a transform window of a lapped transform domain format. The raw audio signal may then be encoded into transform windows having the lapped transform domain format. Packet loss concealment may then be performed for selected transform windows that include modified reduced-energy blocks, either prior to transmission or after transmission by the receiving endpoint.

Abstract: Embodiments of the present disclosure include methods, apparatuses, devices, and computer readable storage mediums for processing far-field environmental noise. The method can comprise processing collected far-field environmental noise to a noise segment in a predetermined format. The method can further comprise establishing a far-field voice recognition model based on the noise segment and a near-field voice segment; and determining validity of the noise segment based on the far-field voice recognition model. The solution of the present disclosure can optimize anti-noise performance of the far-field voice recognition model by differentiated training of noise in different user scenarios of a far-field voice recognition product.

Abstract: An apparatus comprising: an analyser configured to analyse at least one input to determine one or more expression within the at least one input; and a controller configured to control at least one audio signal associated with the at least one input dependent on the determination of the one or more expression.

Abstract: One embodiment of the present invention provides a system for facilitating information in multiple languages based on an optical code. During operation, the system scans an optical code accompanying a text phrase and receives a location of a conversion server embedded in the optical code. The system then determines one or more target languages for obtaining the text phrase in the target languages and sends a query message to the conversion server based on the retrieved location. The query message comprises a list of the one or more target languages.

Abstract: There is a need for solutions that perform predictive natural language processing with improved efficiency and/or accuracy.

Abstract: A method of cognitive translation integrated with context sensitive derivations is provided. The method is implemented via a cognitive translation engine that receives, from an integrated development environment, program-integrated information relationships with respect to a message package. The program-integrated information relationships includes the context sensitive derivations. The cognitive translation engine translates program-integrated information translation requests from a source language into a target language according to the context sensitive derivations. The program-integrated information translation requests are embedded with program-integrated information relationships.

Abstract: Systems, devices and methods for delivering audible alerts are described. In one aspect, an event for generating an audible alert for a user is detected. In response to detection of the event for generating for the audible alert, an audible interface device for delivery of the audible alert based on a location of a personal electronic device of the user is selected. It is determined whether a personal electronic device of another user is within a threshold distance of the selected audible interface device. In response to determining that the personal electronic device of another user is within the threshold distance of the selected audible interface device, an audible identifier associated with the user is determined. Alert instructions for the audible interface device are generated and sent to the audible interface device over a wireless network via a communication module.

Abstract: A sound reproducing method used in sound reproducing apparatus that includes the steps outlined below is provided. An input sound signal related to listener data and sound source data is received. An encoding process is performed by multiplying the input sound signal by an encoding function matrix having entries related to a basis function to generate an encoding result. A decoding function matrix is retrieved from the storage and at least one direction parameter is applied to the decoding function matrix, wherein the decoding function matrix compensates a difference between an ideal approximation result and a modeled approximation result of the input sound signal. A decoding process is performed by multiplying the encoding result by the decoding function matrix having the direction parameter applied to generate an output sound signal. The output sound signal is reproduced.

Abstract: A method is provided for generating a ranked list of candidate responders. In some embodiments, the method includes receiving a question from a user and generating a question feature vector representing an intent of the question and a first skill set inferred from the question. The method also includes for one or more candidate responders, generating a candidate feature vector representing a skill set and questions associated with the respective candidate responder; computing a reputation score based on questions and user feedback associated with the respective candidate responder; and computing, based on the question feature vector, candidate feature vector, and reputation score, a probability score representing a prediction of the quality of an answer that would be provided by the respective candidate responder if the input question were routed to the respective candidate responder. The method further includes generating a ranked list of candidate responders using the computed probability scores.

Abstract: Disclosed are a speech recognition method, a device and a computer readable storage medium. The speech recognition method comprises: performing acoustic characteristic extraction on an input voice, so as to obtain an acoustic characteristic (S11); acquiring an acoustic model, a parameter of the acoustic model being a binarization parameter (S12); and according to the acoustic characteristic and the acoustic model, performing speech recognition (S13).

Abstract: An electronic furniture assembly of the present invention comprises: (i) a furniture assembly comprising: (A) a base (e.g., a seat portion), (B) at least one transverse member (e.g., a side, armrest or backrest), and (C) a coupler for selectively coupling the base to the transverse member; and (ii) artificial intelligence mounted within one or more portions of the furniture assembly. A speaker system can also be provided within the furniture assembly. The artificial intelligence (AI) can respond to and/or obey voice or other commands from a user. The AI can provide numerous functions, e.g., control of the speaker system within the furniture assembly, control of a recliner assembly that is part of the furniture system, or the like. The furniture assembly can include a selectively dockable speaker as part of a speaker system.

Abstract: Techniques for creating groups of devices for controlling these groups with voice commands are described herein. For instance, an environment may include an array of secondary devices (or “smart appliances”, or simply “devices”) that are configured to perform an array of operations. Users may request to create different groups of these devices, such that the users may control entire groups at a single time with individual voice commands.