Adobe, Inc.

Ragunandan Rao Malangully

Walter Wei-Tuh Chang

Frederic Thevenet

Carl Dockhorn

Laurie Marie Byrum

Sean Fitzgerald

Jason Guthrie Waters

Franck Dernoncourt

Seokhwan Kim

Techniques are disclosed for generating a structured transcription from a speech file. In an example embodiment, a structured transcription system receives a speech file comprising speech from one or more people and generates a navigable structured transcription object. The navigable structured transcription object may comprise one or more data structures representing multimedia content with which a user may navigate and interact via a user interface. Text and/or speech relating to the speech file can be selectively presented to the user (e.g., the text can be presented via a display, and the speech can be aurally presented via a speaker).

Emphasizing key points in a speech file and structuring an associated transcription

Highlighting key portions of text within a document is described. A document having text is obtained, and key portions of the document are determined using summarization techniques. Key portion data indicative of the key portions is generated and maintained for output to generate a highlighted document in which highlight overlays are displayed over or proximate the determined key portions of the text within the document. In one or more implementations, reader interactions with the highlighted document are monitored to generate reader feedback data. The reader feedback data may then be combined with the output of the summarization techniques in order to adjust the determined key portions. In some cases, the reader feedback data may also be used to improve the summarization techniques.

Highlighting key portions of text within a document

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Milpitas, CA, United States of America

Ragunandan Rao Malangully