Microsoft Technology Licensing, LLC

Ines Khelifi

Thomas Charles Butcher

George Valavanis

Ted Tai-Yu Chen

Laurentiu Titi Nedelcu

Bill Chau

Ted T Chen

Wesley Hodgson

Kelly Jean Graham

Duncan Og Macconnell

Kenneth Douglas Smith

Adam Thomas Mollis

Jonathan A Adams

Ahmed Raouf Merouche

Sourabh Bansal

Ilya Yurievich Rostovtsev

Sung-Hon Wu

Stephen Earl Fenton

Stacey W Y Law

Eric Paul Nichols

Duncan Og MacConnell

Mark Fenwick Wheeler

Brendan Mitchel Walsh

An Artificial Intelligence (AI) driven content generation system is configured to interact with and inject user inputs into the decision-making process to navigate the user through the boundless creative space offered by content generation algorithms powered by AI. A content generation application may generate an initial collection of artifacts (e.g., multimedia) for exposure to a user, which may be generated based on user input, context awareness, or randomly generated. Responsive to user selection of one of the initial artifacts, a subsequent collection of artifacts is generated based on characteristics of the selected artifact. The generative process is recursive in that the generative application and the user continue to interact until the user decides to use one of the generated artifacts. The generative process enables the user to navigate the virtually infinite creative space of artifacts which may be generated by AI algorithms.

System for generation of novel artifacts with user-guided discovery and navigation of the creative space

A system and method include presentation of a plurality of virtual objects to a first user, reception, from the first user, of a command to associate a voice annotation with one of the plurality of virtual objects, reception of audio signals of a first voice annotation from the first user, and storage the received audio signals in association with metadata indicating the first user and the one of the plurality of virtual objects.

Asynchronous communications in mixed-reality

A digital audio processing system determines characteristics of an electronic presentation to generate a musical composition that is unique to the electronic presentation by adjoining digital audio stems in accordance with the characteristics of the electronic presentation. Embodiments enable a user to define an order for displaying images and a level of importance of the images with respect to one another. For example, the user may designate a specific one of the multiple images as a 'highlight image' for emphasizing during the electronic presentation. Then, the system may arrange numerous musical segments adjacent to one another so that the intensity (e.g., energy level) of a resulting musical composition coincides with key events (e.g., a highlight image being shown) of the particular electronic presentation. The intensity of a particular musical segment may indicate a relative note structure density as compared to other musical segments that are defined within the stem data.

Digital audio processing system for adjoining digital audio stems based on computed audio intensity/characteristics

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Ines Khelifi