Abstract: A computing apparatus comprises one or more computer readable storage media, one or more processors operatively coupled with the one or more computer readable storage media, and program instructions stored on the one or more computer readable storage media. The program instructions, when executed by the one or more processors, direct the computing apparatus to at least generate an audio recording of speech, extract features from the audio recording indicative of vocal patterns in the speech, determine a register classification of the speech based at least on the features, and display an indication of the register classification in a user interface.

Abstract: A data processing system is implemented for receiving an image of a canvas, and detecting design features within the canvas by analyzing the image. The data processing system is implemented for determining an execution of a command by comparing the image to a current image of the canvas, and modifying the design features within the canvas to generate layouts in response to determining the execution of the command. Further, the data processing system is implemented for determining parameters of the modified design features, and determining a value for each layout by applying rules to the parameters of the modified design features. In addition, the data processing system is implemented for displaying the layouts based on the determined value for each layout to a user.

Abstract: The present disclosure relates to determining communication inclusivity amongst speakers during a user communication. Communication inclusivity is a targeted analysis that collectively evaluates speaking opportunities (provided and taken by users) during a user communication and thought completion during speech associated with the user communication. To derive communication inclusivity, a user communication is modeled as a probabilistic interaction between speakers, where a sequence of speaking states of the user communication is identified and analyzed. Non-limiting examples of speaking states comprise: active user speech; periods of silence; overlapping speakers; icon indication; questions in corresponding chat windows; combination states; other contextual signals; and any combination thereof. With these observed sequences of speaking states, a probability distribution is modeled over transitions between states to predict inclusivity of a user communication.

Abstract: Non-limiting examples of the present disclosure describe systems, methods, and devices for generating a design layout. In an embodiment, a design generator may present one or more templates comprising one or more design elements. In response to a selection of one or more of the templates, the design generator may generate a variation vector based on similarities and/or differences between the one or more design elements. In an embodiment, the design generator may generate a layering vector based on the one or more design elements. In response to subsequent selections, the design generator may generate subsequent templates by implementing the variation vector and/or the layering vector in association with the selected template(s). The design generator may store and/or otherwise capture the features of a selected template, and apply the features to future design projects.

Abstract: Non-limiting examples of the present disclosure describe systems, methods, and devices for generating a design layout. In an embodiment, a design generator may present one or more templates comprising one or more design elements. In response to a selection of one or more of the templates, the design generator may generate a variation vector based on similarities and/or differences between the one or more design elements. In an embodiment, the design generator may generate a layering vector based on the one or more design elements. In response to subsequent selections, the design generator may generate subsequent templates by implementing the variation vector and/or the layering vector in association with the selected template(s). The design generator may store and/or otherwise capture the features of a selected template, and apply the features to future design projects.

Abstract: The present disclosure relates to determining communication inclusivity amongst speakers during a user communication. Communication inclusivity is a targeted analysis that collectively evaluates speaking opportunities (provided and taken by users) during a user communication and thought completion during speech associated with the user communication. To derive communication inclusivity, a user communication is modeled as a probabilistic interaction between speakers, where a sequence of speaking states of the user communication is identified and analyzed. Non-limiting examples of speaking states comprise: active user speech; periods of silence; overlapping speakers; icon indication; questions in corresponding chat windows; combination states; other contextual signals; and any combination thereof. With these observed sequences of speaking states, a probability distribution is modeled over transitions between states to predict inclusivity of a user communication.