Microsoft Technology Licensing, LLC

Roberta McAlpine

Frank Zakrajsek

Edhi Sarwono

Christopher Edward Frederick Geddes

Gregory P Gicewicz

Techniques for adjusting user experiences for participants of a multiuser session by deploying vocal-characteristic models to analyze audio streams received in association with the participants are disclosed herein. The vocal-characteristic models are used to identify emotional state indicators corresponding to certain vocal properties being exhibited by individual participants. Based on the identified emotional state indicators, probability scores are generated indicating a likelihood that individual participants are experiencing a predefined emotional state. For example, a specific participant's voice may be continuously received and analyzed using a vocal-characteristic model designed to detect whether vocal properties are consistent with a predefined emotional state. Probability scores may be generated based on how strongly the detected vocal properties correlate with the vocal-characteristic model. Responsive to the probability score that results from the vocal-characteristic model exceeding a threshold score, some remedial action may be performed with respect to the specific participant that is experiencing the predefined emotional state.

Adjusting user experience for multiuser sessions based on vocal-characteristic models

A method and system for monitoring configuration information of computing devices is provided. The monitoring system generates a desired configuration monitor ('DCM') document for each computing device that is to have its configuration monitored. The DCM document specifies configuration settings to be monitored along with rules that specify how to determine whether a configuration setting is correct. Each computing device may include a comparison engine that inputs the DCM document and applies the rules of the DCM document to determine which configuration settings of the computing device are not in compliance.

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Issaquah, WA, United States of America

Roberta McAlpine