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Audio System for Technical Readings [electronic resource] /

By: Raman, T. V [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 1410Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1998.Description: XVII, 131 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540492078.Subject(s): Social sciences | Multimedia information systems | User interfaces (Computer systems) | Artificial intelligence | Text processing (Computer science) | Social work | Sociology | Social Sciences | Sociology, general | User Interfaces and Human Computer Interaction | Social Work | Document Preparation and Text Processing | Multimedia Information Systems | Artificial Intelligence (incl. Robotics)Online resources: Click here to access online
Contents:
Audio system for technical readings -- Recognizing high-level document structure -- AFL: Audio formatting language -- Rendering rules and styles -- Browsing audio documents -- Related work -- Documentation -- Accessibility.
In: Springer eBooksSummary: This book is based on the author's Ph.D. thesis which was selected during the 1994 ACM Doctoral Dissertation Competition as one of the two co-winning works. T.V. Raman did his Ph.D. work at Cornell University with Professor Davied Gries as thesis advisor. The author presents the computing system ASTER that audio formats electronic documents to produce audio documents. ASTER can speak both literary texts and highly technical documents containing complex mathematics (presented in (LA)TEX).
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Audio system for technical readings -- Recognizing high-level document structure -- AFL: Audio formatting language -- Rendering rules and styles -- Browsing audio documents -- Related work -- Documentation -- Accessibility.

This book is based on the author's Ph.D. thesis which was selected during the 1994 ACM Doctoral Dissertation Competition as one of the two co-winning works. T.V. Raman did his Ph.D. work at Cornell University with Professor Davied Gries as thesis advisor. The author presents the computing system ASTER that audio formats electronic documents to produce audio documents. ASTER can speak both literary texts and highly technical documents containing complex mathematics (presented in (LA)TEX).

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