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Loretta Guarino Reid

Researcher at Google

Publications -  9
Citations -  1230

Loretta Guarino Reid is an academic researcher from Google. The author has contributed to research in topics: Web accessibility & Language identification. The author has an hindex of 7, co-authored 9 publications receiving 1087 citations. Previous affiliations of Loretta Guarino Reid include Adobe Systems & Xerox.

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Web Content Accessibility Guidelines (WCAG) 2.0

TL;DR: Web Content Accessibility Guidelines (WCAG) 2.0 covers a wide range of recommendations for making Web content more accessible to a wider range of people with disabilities, including blindness and low vision, deafness and hearing loss, learning disabilities, limited movement, and more.
Proceedings ArticleDOI

WCAG 2.0: a web accessibility standard for the evolving web

TL;DR: Since the Web Content Accessibility Guidelines 1.0 (WCAG) became a W3C recommendation in May 1999, the Web has changed dramatically and some of the major issues encountered are described.
Proceedings ArticleDOI

AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies

TL;DR: AVA-Speech as mentioned in this paper is a dataset containing densely labeled speech activity in YouTube videos, with the goal of creating a shared, available dataset for this task, which can be used to compare approaches and understand their strengths and weaknesses.
Proceedings ArticleDOI

Platform-independent accessibility API: accessible document object model

TL;DR: This paper analyzes the commonalities of existing platform-specific Accessibility APIs, and defines a platform-independent accessibility API, the Accessible DOM, which encompasses the features ofexisting APIs and overcomes the limitations of existing APIs to express dynamic, complex document contents.
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AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies

TL;DR: A new dataset is described which will be released publicly containing densely labeled speech activity in YouTube videos, with the goal of creating a shared, available dataset for speech activity detection.