A computer system for remote interactive graphical display and data management includes a data storage device storing data records, a remote data acquisition computer configured to selectively trigger display actions for the data records based on at least a time-based rule and a time-independent rule; a classification engine configured to classify a response received from a remote display interface having user-selectable options arranged to define a scale of values, in one of two categories, a first category and a second category, being below a first threshold value being classified as being in the first category, and responses on the scale above a second threshold value being in the second category, and a display interface generator configured to selectively generate a supplemental interface or a conclusion message dependent on the category.

Various examples describe interfacing at least one computing device to a plurality of human users. An interface system may receive goal data describing a shared goal shared by a plurality of users and transaction data describing a first transaction made by a first user of the plurality of users. The interface system may also receive, from a user computing device, audio data describing speech of the first user and of a second user. The interface system may extract a first word from the audio data and detect a conflict between at least two of the plurality of users based at least in part on the goal data, the transaction data, and the first word. The interface system may further determine a mediation routine for the conflict based at least in part on the goal data, the transaction data, and the first word, and execute the mediation routine.

Systems and methods are presented herein for recording portions of a media asset relevant to recording criteria. A media application receives input indicating the recording criteria and identifying a first keyword. The media application accesses a data structure to identify a first node associated with the first keyword. The data structure includes the first node and a plurality of nodes connected to the first node via a plurality of paths. The media application receiving audio component data for a portion of the media asset extracts a term from the audio component data, and identifies a second node in the data structure that is associated with the extracted term. The media application calculates a path score for the portion of the media asset based on a path size in the data structure between the first node and the second node. When the score is high enough, the portion of the media asset is recorded.

Implementations set forth herein relate to off-loading, or temporarily ceasing such off-loading, computational tasks to a separate computing device based on a network metric(s) that is not limited to signal strength. Rather, a network metric for determining whether to continue relying on a network connection with a server computing device for certain computational tasks can be based on a current, or recent, interaction with the server computing device. In this way, an application executing at a computing device having a powerful antenna — but an otherwise limited network velocity, can determine to temporarily rely exclusively on local processing. For instance, an automated assistant can temporarily cease communicating audio data to a remote server computing device, during a dialog session, in response to determining a network metric fails to satisfy a threshold-even though there may appear to be adequate signal strength to effectively transmit the audio data.

Systems and methods for providing conversation assistance include receiving from at least one user device of a user, conversation information and determining that the conversation information is associated with a conversation involving the user and a first person that is associated with first conversation assistance information in a non-transitory memory. Body measurement data of the user is retrieved from the at least first user device. A need for conversation assistance in the conversation involving the user and the first person is detected using the body measurement data. First conversation assistance information associated with the first person is retrieved from the non-transitory memory. The first conversation assistance information associated with the first person is provided through the at least one user device.

Various embodiments of the present invention pertain to an electronic device and an operation method therefor. The electronic device comprises: a housing that includes a circular upper end surface comprising a plurality of openings having a selected pattern, a flat circular lower end surface and a side surface surrounding a space between the upper end surface and the lower end surface; an audio output interface that is formed on the side surface; a power input interface that is formed on the side surface; a microphone that is located inside the housing, and that faces the openings; a wireless communication circuit; a processor that is operatively connected to the audio output interface, the power input interface, the microphone and the communication circuit; and a memory that is operatively connected to the processor, wherein the memory, when the electronic device is executed, can store instructions for the processor to receive a wake-up command through the microphone, to recognize the wake-up command, to transmit to a server information regarding reception of the wake-up command using the communication circuit, to receive a response from the server using the communication circuit, to generate a first audio signal based on the response, and to output the first audio signal using the audio output interface when the microphone is available, wherein the audio signal can be a non-language sound. Various embodiments are also possible.

An electronic device and a method for controlling the electronic device are disclosed. The electronic device of the disclosure includes a microphone, a memory storing at least one instruction, and a processor configured to execute the at least one instruction. The processor, by executing the at least one instruction, is configured to: obtain second voice data by inputting first voice data input via the microphone to a first model trained to enhance sound quality, obtain a weight by inputting the first voice data and the second voice data to a second model, and identify input data to be input to a third model using the weight.

By analyzing a natural language content concurrently with a presentation of the natural language content, a first language of the natural language content is detected. By analyzing the natural language content concurrently with the presentation of the natural language content, it is detected that a subset of the natural language content is expressed in a second language, wherein the second language is different from the first language, wherein a set of known languages comprises the first language, wherein the set of known languages excludes the second language. From the subset of the natural language content, a modified subset expressed in the first language is generated. The modified subset is inserted into the natural language content.

One embodiment provides a method, including: detecting user activation input provided to a voice input button displayed on a display screen of an information handling device, wherein the user activation input triggers a voice input mode; expanding, responsive to the detecting, a voice input menu, wherein the voice input menu comprises at least two content input options; identifying a selection of one of the at least two content input options; receiving, after the identifying, voice input; converting the voice input into another input type, wherein the another input type is designated by the selection; and providing, based on the converting, input associated with the another input type into an underlying application. Other aspects are described and claimed.

A user device may detect speech and use “early exiting” when identifying a potential operational command in the detected speech. The implementation of early exiting may be based on a variable threshold, where variable sensitivity settings for the threshold may be used to control how quickly, and whether, an “early exit” or early prediction of an operational command will occur. An early exit threshold may be adjusted, for example, based on network conditions, to ensure optimal operational command determination from the audio.