Abstract: A system and method for assisting communication through predictive speech is provided. A database includes commonly used words, phrases, and images, each associated with at least one context cue. A processor is configured to determine the user's context and provide a number of possible initial phrases associated with the determined context. Further words, phrases, or images are provided following, and based at least in part on, user selection of the initial phrase. The selected initial phrase and the subsequently selected words, phrases, and images are communicated.

Abstract: Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.

Abstract: Provided is a device, a method that allow a remote terminal to perform a process on the basis of a local-terminal-side user utterance. There are a local terminal and a remote terminal. The local terminal performs a process of a semantic analysis of a user utterance input into the local terminal. On the basis of a result of the semantic analysis, the local terminal determines whether or not the user utterance is a request to the remote terminal for a process. Moreover, in a case where the user utterance is a request to the remote terminal for a process, the local terminal transmits the result of the semantic analysis by a semantic-analysis part to the remote terminal. The remote terminal receives the result of the semantic analysis of the local-terminal-side user utterance, and performs a process based on the received result of the semantic analysis of the local-terminal-side user utterance.

Abstract: Disclosed is an electronic apparatus capable of controlling voice recognition. The electronic apparatus increases a score of a category corresponding to a word included in user's utterance in a database when the instruction included in the user's utterance is present in the database. The electronic apparatus checks whether the score of the category corresponding to the word is equal to or greater than a preset value when the instruction is not present in the database. The electronic apparatus registers the instruction in the database so that the instruction is included in the category corresponding to the word when the score is equal to or greater than the preset value as the check result.

Abstract: A terminal device is provided and includes a communication interface including circuitry, a display and at least one processor configured to control the communication interface to transmit a user voice including a plurality of intents to an external server, based on word use information included in the user voice and summary information regarding the user voice generated based on user-related information being received from the external server, control the display to display the received summary information, based on a user feedback regarding the summary information being input, transmit information regarding the user feedback to the external server, and based on response information regarding the user voice generated based on the user feedback being received from the external server, control the display to provide the response information.

Abstract: Systems and methods for integration of speech processing functionality with organization systems are disclosed. For example, a voice interface application may be created to enable a voice interface functionality for devices associated with an organization. Space identifiers of spaces of the organization may be created and associated with the voice interface application. Devices associated with the space identifiers may be enabled for utilizing the voice interface application and may be set up utilizing wireless network identifiers associated with the spaces and/or the organization.

Abstract: A method, device and computer storage medium for generating a speech packet which relates to the technical field of speech are disclosed. The method may include: providing a speech recording interface to a user; obtaining speech data entered by the user after obtaining an event of triggering speech recording on the speech recording interface; uploading the speech data to a server side in response to determining that the speech data meets requirements for training a speech synthesis model; receiving a downloading address of the speech packet generated by the server side after training the speech synthesis model with the speech data. An ordinary user may customize a personalized speech packet through the speech recording interface provided by the client, without using professional recording equipment, which may substantially reduce the production cost of the speech packet.

Abstract: According to an embodiment, a method includes converting a knowledge base into a graph. In this embodiment, the knowledge base contains a plurality of entities and specifies a plurality of relationships among the plurality of entities, and entities in the knowledge base correspond to vertices in the graph, and relationships between entities in the knowledge base correspond to edges between vertices in the graph. The method may also include extracting a plurality of vertex embeddings from the graph. An example vertex embedding of the plurality of vertex embeddings represents, for a particular vertex, a proximity of the particular vertex to other vertices of the graph. Further, the method may include performing, based at least in part on the plurality of vertex embeddings, entity linking between input text and the knowledge base.

Abstract: There is provided a system and method for generating predictions. The predictions are generated using a model configured to associate text with at least one action associated with at least one of a plurality of applications.

Abstract: A set of candidate intent vectors is generated from an input intent vector. A validation of the set of candidate intent vectors is performed that selects as valid intent vectors any of the set of candidate intent vectors that are semantically similar to the input intent vector.

Abstract: Computer-based natural language understanding of input and output for a computer interlocutor is improved using a method of classifying conversation segments from transcribed conversations. The improvement includes one or more methods of splitting transcribed conversations into groups related to a conversation ontology using metadata; identifying dominant paths of conversational behavior by counting the frequency of occurrences of the behavior for a given path; creating a conversation model comprising conversation behaviors, metadata, and dominant paths; and using the conversation model to assign a probability score for a matched input to the computer interlocutor or a generated output from the computer interlocutor.

Abstract: A server is an interactive system that performs the interaction by performing a reverse question with respect to an input by the user and providing response content. An input acquisition unit and an answer generation unit constitute an interaction execution unit that repeatedly performs the interaction until a question sentence and an answer, which are the response content, satisfy a prescribed condition. Further, the stoppage determination execution unit performs control for stopping the interaction performed by the input acquisition unit and the answer generation unit based on the interaction state by the user or the other user. In a case where the interaction is stopped, the output unit provides the question sentence and the answer thereof at the time of stoppage to the communication terminal.

Abstract: A system and method implemented on a computing device for analyzing a digital corpus of unstructured interlocutor conversations to discover intents, goals, or both intents and goals of one or more parties to the conversations, by grouping the conversation utterances according to semantic similarity clusters; selecting the best utterance(s) that mostly likely embody a party's stated goal or intent; creates a set of candidate intent names for each cluster based upon each intent utterance in each conversation in each cluster; rates each candidate intent (or goal) for each intent name; and selects the most likely candidate intent (or goal) name for the purposes of subsequent automation of future conversations such as, but not limited to, automated electronic responses using Artificial Intelligence and machine learning.

Abstract: Disclosed is a method and apparatus for processing a speech. The method includes obtaining context information from a speech signal of a user using a neural network-based encoder, determining intent information of the speech signal based on the context information, determining, based on the context information, attention information corresponding to a segment included in the speech signal, and determining, based on the attention information, a segment value of the segment by recognizing, using a decoder, a portion of the context information identified as corresponding to the segment.

Abstract: A voice signal control device includes a processor having hardware configured to process a voice signal generated by a voice signal generation device configured to generate the voice signal according to setting information of a voice output in a voice processing device configured to output the voice signal, and make the voice processing device output voice according to the voice signal after the processing.

Abstract: A method for operating an electronic assistance device includes: outputting, at a foreground volume, a first output audio stream provided by a voice-controlled first assistance application of the electronic assistance device, the first assistance application exclusively accepting a first wake-up word; continuously detecting an ambient sound and providing the detected ambient sound as an input audio stream; recognizing a second wake-up word as the only wake-up word in a user's voice input recognized in the provided input audio stream, wherein the second wake-up word is exclusively accepted by a voice-controlled second assistance application of the assistance device; and recognizing, in the voice input a command word following the second wake-up word, the command word being accepted by the first assistance application and by the second assistance application, and controlling the first output audio stream via the recognized voice input.

Abstract: A smart speaker system is used as an emergency notification system. The smart speaker has a loudspeaker, a microphone, a visual display, processing capability, and an emergency flasher in the same enclosure. The smart speaker is in communication with a network-connected server providing at least distribution of emergency notification messages to appropriate clients. The amount of audio processing shared between the smart speaker and the server may vary, depending on the requirements of the installation site. Once an emergency voice communication is detected in the microphone output, the system generates a confirmation message that is played over the loudspeaker. Upon detection of an appropriate voice response from the user, the system generates an emergency response message, sends it to the distribution network, and activates the visual display, loudspeaker, and emergency flasher. Noise cancellation circuitry prevents loudspeaker interference with microphone output.

Abstract: Systems and processes for providing a virtual assistant service are provided. In accordance with one or more examples, a method includes receiving, from an accessory device communicatively coupled to the first electronic device, a representation of a speech input representing a user request. The method further includes detecting a second electronic device and transmitting, from the first electronic device, a representation of the user request and data associated with the detected second electronic device to a third electronic device. The method further includes receiving, from the third electronic device, a determination of whether a task is to be performed by the second electronic device in accordance with the user request; and in accordance with a determination that a task is to be performed by the second electronic device, requesting the second electronic device to performed the task in accordance with the user request.

Abstract: Devices and techniques are generally described for sending a first instruction for a device to output first content while the speech-processing device is in an ambient state during a first time period. First feedback data is received indicating that a first action associated with the first content was requested at a first time. A determination is made that the first time is during the first time period. Timing data related to a current time of the device is determined. Second content is determined based at least in part on the first action being requested during the first time period and the timing data. A second instruction is sent effective to cause the device to output second content while in the ambient state during a second time period.

Abstract: A method for automatically rectifying in real-time anomalies in natural language processing systems. The method can include receiving command data from a user device of a user. The command data can correspond to a user request. The method further can include retrieving, from a new template database, a new request template corresponding to the user request. Additionally, the method can include retrieving, from the new template database, an output instruction corresponding to the new request template, when the new request template is found. The method further can include determining, by a machine learning system, the output instruction corresponding to the user request, when the new request template is not found. The method also can include transmitting the output instruction to a request processing system. The request processing system can be configured to perform the output instruction and transmit, to the user device, a response to the user request. Other embodiments are disclosed.