Audio System for Technical Readings [electronic resource] / by T. V. Raman.

By: Raman, T. V [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer Science ; 1410Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1998Description: XVII, 131 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540492078Subject(s): Computer science | Multimedia systems | Artificial intelligence | Text processing (Computer science | Computer Science | User Interfaces and Human Computer Interaction | Document Preparation and Text Processing | Multimedia Information Systems | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 005.437 | 4.019 LOC classification: QA76.9.U83QA76.9.H85Online 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).
Item type: E-BOOKS
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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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The Institute of Mathematical Sciences, Chennai, India

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