Abstract: A system and method include reception, from a remote system, of a trained natural language processing model implementing a dialog flow-based application, reception of input parameters from an operator while not in communication with the remote system, input of the input parameters to the model to initiate a transaction, storing of transaction data associated with the transaction in a local memory, determination that the mobile device is in communication with the remote system, transmission, in response to the determination, of the stored transaction data to the remote system, and reception, from the remote system, of an updated trained model based on the transmitted transaction data.

Abstract: A method reduces noise in an audio signal. In the method a signal component subsequent to the prediction time is predicted for a plurality of prediction times with reference to signal components of the audio signal that are respectively prior to the prediction time. A predicted audio signal is formed from the signal components respectively following a prediction time, and a noise-reduced audio signal is generated based on the predicted audio signal.

Abstract: The present disclosure discloses method and a content rendering system for providing multimodal content to selective users during visual presentation. The method includes identifying plurality of users attending visual presentation based on login and user details provided during registering to visual presentation. One or more keywords is determined in visual presentation associated with one or more auxiliary content based on narration by a presenter. The one or more auxiliary content corresponding to each of the one or more keywords is retrieved. The method includes identifying one or more users from plurality of users allowed to receive one or more auxiliary content based on user details and predefined auxiliary mapping details. The one or more auxiliary content is combined with corresponding one or more keywords in visual presentation. Thereafter, combined auxiliary content along with the visual presentation is provided to users in respective user devices.

Abstract: Disclosed is a method for identifying a user interest, including: obtaining training samples and test samples, the training samples being obtained by manually labeling after the corresponding topic models have been trained based on text data; extracting characteristics of the training samples and of the test samples, and computing optimal model parameters of a logistic regression model by an iterative algorithm based on the characteristics of the training samples; evaluating the logistic regression model based on the characteristics of the test samples and an area AUC under an ROC curve to train and obtain a first theme classifier; determining a theme to which the text data belongs using the first theme classifier, computing a score of the theme to which the text data belongs based on the logistic regression model, and computing a confidence score of the user being interested in the theme according to a second preset algorithm.

Abstract: A method for processing speech, comprising semantically parsing a received natural language speech input with respect to a plurality of predetermined command grammars in an automated speech processing system; determining if the parsed speech input unambiguously corresponds to a command and is sufficiently complete for reliable processing, then processing the command; if the speech input ambiguously corresponds to a single command or is not sufficiently complete for reliable processing, then prompting a user for further speech input to reduce ambiguity or increase completeness, in dependence on a relationship of previously received speech input and at least one command grammar of the plurality of predetermined command grammars, reparsing the further speech input in conjunction with previously parsed speech input, and iterating as necessary. The system also monitors abort, fail or cancel conditions in the speech input.

Abstract: The disclosure relates to an initialization method for the smart home and the device thereof. The method includes receiving an initialization audio signal played by a target device, wherein the initialization audio signal is an audio signal of target characters obtained by encoding source data of initialization data for the smart home; decoding the initialization audio signal based on pre-stored correspondences between pre-set characters and source data of the pre-set characters so as to obtain the source data of the initialization data, wherein the pre-set characters include at least the target characters; and initializing the smart home based on the source data of the initialization data.

Abstract: The present teaching relates to method, system, medium, and implementations for configuring an animatronic device. Information is received about performance of a user exhibited in a dialogue between the user and an animatronic device which conducts the dialogue with the user in accordance with a configuration. The effectiveness of the configuration with respect to the user is assessed based on the information about the performance of the user and is used for machine learning at least one model, which is then used to adjust the configuration to generate an updated configuration for the animatronic device to use to continue the dialogue.

Abstract: This application discloses a session information processing method and device, and a storage medium. The method includes: extracting a to-be-analyzed sentence and preceding sentences of the to-be-analyzed sentence from a session; performing word segmentation on the to-be-analyzed sentence and the preceding sentences, to obtain a first feature set including a plurality of first features; extracting a second feature set including one or more second features from a first word set corresponding to the to-be-analyzed sentence and a second word set corresponding to the preceding sentences, one second feature including a phrase or sentence including a first word and a second word, the first word being one or more words in the first word set, and the second word being one or more words in the second word set; and determining, according to the first feature set and the second feature set, a sentence category to which the to-be-analyzed sentence belongs.

Abstract: An electronic system is provided. The electronic system includes a host, an audio output device and a display. The host includes an audio processing module, a relay processing module, a smart interpreter engine and a driver. The audio processing module is utilized for acquiring audio data corresponding to a first language from audio streams processed by an application program executed on the host. The smart interpreter engine is utilized for converting the audio data corresponding to the first language into text data corresponding to a second language. The relay processing module is utilized for transmitting the text data corresponding to the second language to the display for displaying. The driver is utilized for converting the data corresponding to the first language into an analog audio signal corresponding to the first language and transmitting the analog audio signal corresponding to the first language to the audio output device for playback.

Abstract: An information processing system is communicable with a translation server through a network, and includes a receiver, circuitry, and a transmitter. The receiver receives content data indicating contents expressed in a first language and destination information indicating a destination to which the content data is to be transmitted. The circuitry determines, based on the destination information received by the receiver, a second language as a target language into which the contents expressed in the first language is to be translated. The transmitter transmits, to the destination indicated by the destination information, translated content data indicating contents that is translated by the translation server from the first language to the second language.

Abstract: Certain aspects of the disclosure are directed to context aggregation in a data communications network. According to a specific example, user-data communications between a client-specific endpoint device and the other participating endpoint device during a first time period can be retrieved from a plurality of interconnected data communications systems. The client station can be configured and arranged to interface with a data communications server providing data communications services on a subscription basis. Context information for each respective user-data communication between the client station and the participating station during the first time period can be aggregated, such that subsequent user-data communications received from the participating station and intended for the client entity, can be routed based on the aggregated context information.

Abstract: A voice enabled device can assist a computing device, such as a server, in processing/analyzing a voice input. The voice enabled device can initiate a network communication session and transmit the voice input to the computing device. The computing device can classify the voice input as a type of communication session (e.g., conversation, etc . . . ). Based on the type of communication session, the computing device can either remain in communication with the voice enabled device and continue to process voice input or terminate the communication after instructing the voice enabled device to process the voice input.

Abstract: An audio encoder for providing an output signal using an input audio signal includes a patch generator, a comparator and an output interface. The patch generator generates at least one bandwidth extension high-frequency signal, wherein a bandwidth extension high-frequency signal includes a high-frequency band. The high-frequency band of the bandwidth extension high-frequency signal is based on a low frequency band of the input audio signal. A comparator calculates a plurality of comparison parameters. A comparison parameter is calculated based on a comparison of the input audio signal and a generated bandwidth extension high-frequency signal. Each comparison parameter of the plurality of comparison parameters is calculated based on a different offset frequency between the input audio signal and a generated bandwidth extension high-frequency signal.

Abstract: Provided are a system and method of providing a voice-message call service. A mobile device that performs a call with an external mobile device comprises a control unit configured to obtain text, the text converted from voice data that is exchanged between the mobile device and the external mobile device, during the call between the mobile device and the external mobile device, and obtain input text input to the mobile device and provided text that is received from the external mobile device; and a display unit configured to arrange the text, the input text, and the provided text and display the arranged text, input text, and provided text on a screen of the device, during the call between the mobile device and the external mobile device.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a first natural-language speech input indicative of a request for media, where the first natural-language speech input comprises a first search parameter; providing, by a digital assistant, a first media item identified based on the first search parameter. The method further includes, while providing the first media item, receiving a second natural-language speech input and determining whether the second input corresponds to a user intent of refining the request for media. The method further includes, in accordance with a determination that the second speech input corresponds to a user intent of refining the request for media: identifying, based on the first parameter and the second speech input, a second media item and providing the second media item.

Abstract: Mechanisms are provided for customizing responses to future questions based on identified anomalies in user profile information. An automated dialogue system monitors information associated with a plurality of entities, where the information includes quantities for variable values associated with the entities. The automated dialogue system, in response to determining that a quantity of a variable value associated with an entity in the plurality of entities has changed by an amount equal to or exceeding a corresponding threshold value, generates response information associated with a quantity of the variable value and an entity to respond to at least one future question. In addition, the automated dialogue system stores the responsive information in association with the entity for later retrieval in response to initiation of a dialogue session with the automated dialogue system. Time thresholds may be established for determining when to stop using the responsive information for responding to questions.

Abstract: Methods and systems for speech recognition are disclosed. In one aspect, a method includes receiving an input signal representing spoken words, identifying individual words in the input signal, building a plurality of word sets based on the individual words, generating a partial result based on at least one of the plurality of word sets, receiving an additional input signal subsequent to the generation of the partial result, identifying an additional word from the additional input, detecting a semantic delimiter based on at least one of the plurality of word sets and the additional word, and in response to the detection, generating a response to the input signal based at least in part, on the partial result and the semantic delimiter.

Abstract: A method includes that for each model from multiple models, evaluating a model prediction accuracy based on a dataset of a user over a first time duration. The dataset includes a sequence of actions with corresponding contexts based on electronic device interactions. Each model is trained to predict a next action at a time point within the first time duration, based on a first behavior sequence over a first time period from the dataset before the time point, a second behavior sequence over a second time period from the dataset before the time point, and context at the time point. A model is selected from the multiple models based on its model prediction accuracy for the user based on a domain. An action to be initiated at a later time using an electronic device of the user is recommended using the selected model during a second time duration.

Abstract: The present disclosure provides a method and a device for displaying multi-language typesetting, a browser, a terminal and a computer readable storage medium. The method includes: obtaining a text to be typeset; identifying embedded language content in a principal language text of the text to be typeset, wherein the embedded language content comprises at least one non-principal language content embedded in the principal language text; determining replacement content of the embedded language content, wherein the replacement content comprises a principal language text corresponding to the embedded language content or an abbreviation of a non-principal language text in the embedded language content; and replacing the embedded language content with the replacement content.

Abstract: Provided are methods, systems, and apparatuses for detecting, processing, and responding to audio signals, including speech signals, within a designated area or space. A platform for multiple media devices connected via a network is configured to process speech, such as voice commands, detected at the media devices, and respond to the detected speech by causing the media devices to simultaneously perform one or more requested actions. The platform is capable of scoring the quality of a speech request, handling speech requests from multiple end points of the platform using a centralized processing approach, a de-centralized processing approach, or a combination thereof, and also manipulating partial processing of speech requests from multiple end points into a coherent whole when necessary.