Microsoft Technology Licensing, LLC

Jason Kepner

Jeremy Lee Dewey

Martin D Hall

David Ahs

Jan Anders Nelson

Jordi Mola Marti

David Ruzyski

Ramakrishna Pamarthi

Evelyn R Thomas

Joshua R McCammon

Stephen E Giscombe

Terry Farrell

Dana Ludwig

Peter A Thompson

Shashidhar P Jade

Thomas Cooper

Leanne Brodzinski

Bernhard Kohlmeier

Cameron B Lerum

Kedar Hirve

Viraj B Mody

Francois Liger

Heather Grantham Brodie

Jan Roelof Falkena

Luca Beltrami

Travis St Onge

Aaron Cardwell

Byung Kun Lee

Matthew Labunka

Examples described herein provide various devices that enable users to participate in a multiplayer session. The examples allow a user that is unable to speak, or that is incapable of speaking, to participate in an in-session voice chat by inputting text and having the text converted to speech (e.g., synthesized voice data) that can then be sent to other devices participating in the session. The user enables a text-to-speech conversion feature on his or her own device. Based on the enabled feature, functionality enabling text to be entered is activated and the entered text is converted into speech data.

Session text-to-speech conversion

Examples described herein provide various devices that enable users to participate in a session. The examples allow a user that is unable to hear, or that is incapable of hearing, to participate in an in-session voice chat by receiving text messages that have been converted from speech to text (e.g., transcribed messages). The user enables a speech-to-text conversion feature on his or her own device. Based on the enabled feature, a notification can be sent to other devices participating in the session. Based on the notification, the other devices are tasked with capturing utterances and sending corresponding speech data to a speech-to-text conversion device so that voice communications can be converted to text messages. Subsequent to conversion, the text messages can be displayed in a chat interface presented as part of the displayed content for the session.

Session speech-to-text conversion

Methods, apparatus, and computer-readable media employing computer-readable components for localization of data included in software programs are described. The computer-readable components comprise data elements defined based on a software data schema; and an owned comment data element comprising information about the localization of the data included in the software programs and an associated owner with permission to create, access, and manipulate the owned comment data element. The owned comment data element is included in other data elements. The owned comment data element may also be included in a list of owned comment elements comprising at least one owned comment data element.

Comment processing

Methods, apparatus, and computer-readable media including computer-readable components for the localization of data included in software programs are described. The computer-readable components comprise data elements defined by a software data schema; a property repository data element for storing a plurality of data properties about the data elements; and an owned comment data element comprising information about the localization of the data included in software programs and an owner with permission to create, access, and manipulate the owned comment data element.

Extensible XML format and object model for localization data

A user interface and associated methods for machine aided authoring and translation is provided. The user interface can display strings and associated metadata to assist with authoring and translations. The metadata can be used to mark the strings. The metadata can include one or more constraints which correspond to evaluation criteria and one or more anchor points operable to project the constraints against a string.

User interface for machine aided authoring and translation

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Snoqualmie, WA, United States of America

Jason Kepner