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Structured Audio Podcasts via Web Text-to-Speech System

Audio podcasting is increasingly present in the educational field and is especially appreciated as an ubiquitous/pervasive tool (“anywhere, anytime, at any pace”) for acquiring or expanding knowledge. We designed and implemented a Web-based Text To Speech (TTS) system for automatic generation of a set of structured audio podcasts from a single text document. The system receives a document in input (doc, rtf, or txt), and in output provides a set of audio files that reflect the document’s internal structure (one mp3 file for each document section), ready to be downloaded on portable mp3 players. Structured audio files are useful for everyone but are especially appreciated by blind users, who must explore content audially. Fully accessible for the blind, our system offers WAI-ARIA-based Web interfaces for easy navigation and interaction via screen reader and voice synthesizer, and produces a set of accessible audio files for Rockbox mp3 players (mp3 and talk files), allowing blind users to also listen to naturally spoken file names (instead of their spelled-out strings). In this demo, we will show how the system works when a user interacts via screen reader and voice synthesizer, showing the interaction with both our Web-based system and with an mp3 player.


WWW2010 - 19th International World Wide Web Conference , Raleigh NC (USA) , 2010

Autori esterni: Barbara Leporini (ISTI)
Autori IIT:

Giulio Mori

Foto di Giulio Mori

Tipo: Articolo in Atti di convegno internazionale con referee
Area di disciplina: Information Technology and Communication Systems

Attività: Accessibility and Usability of User Interfaces