Microsoft Technology Licensing, LLC

Viktoryia Akulich

Gregory Carl Hitchcock

Shrey Nitin Shah

Tanya Matskewich

Nicholas Kibre

Michael Tholfsen

Guillaume Simonnet

Bernd Ingo Plontsch

Kevin Chad Larson

Christina Chen Campbell

Klorida Miraj

The unique attributes of handheld devices and how they are used—particularly multi-screen devices—are leveraged to define rules for automatically triggering workflows. By monitoring signals from various device sensors, the device can anticipate a user's intention to perform an action, such as capturing a quick thought. A workflow for performing the action (or actions) may be automatically triggered based on rules for evaluating the sensor signals. By anticipating the user's intentions, the device can automatically perform many of the underlying actions behind the scenes, thereby minimizing the actions performed by the user and improving the user experience. In this way, cumbersome, multi-step user inputs and interactions are avoided by anticipating user intentions and automatically triggering workflows.

Contextual workflow triggering on devices

In non-limiting examples of the present disclosure, systems, methods and devices for mapping hyperarticulated sounds to text units are presented. A plurality of textual units may be received. The plurality of textual units may be processed with a natural language processing engine. A sentence structure for the plurality of textual units may be identified, wherein the sentence structure comprises a plurality of words. The plurality of words may be processed with a text-to-speech engine. A text-to-speech output comprising a plurality of pronunciations may be identified, wherein each of the plurality of pronunciations corresponds to a syllabic unit of one of the plurality of words. A hyperarticulated vowel sound may be mapped to each syllabic unit from the text-to-speech output. A pronunciation instruction corresponding to each hyperarticulated vowel sound may be caused to be surfaced.

Conversion of text-to-speech pronunciation outputs to hyperarticulated vowels

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Seattle, WA, United States of America

Viktoryia Akulich