Paper Info
Title
Structured audio podcasts via web text-to-speech system
Abstract
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.
Year
DOI
Venue
2010
10.1145/1772690.1772902
WWW
Keywords
Field
DocType
rockbox mp3 player,voice synthesizer,accessible audio file,web text-to-speech system,web-based system,blind user,mp3 player,structured audio podcasts,audio podcasting,audio file,mp3 file,screen reader,text to speech,web interface
Screen reader,Speech synthesis,Pace,World Wide Web,MP3 player,Audio mining,Computer science,Document section,WAI-ARIA,Multimedia,Text document
Conference
Citations 
PageRank 
References 
1
0.35
6
Authors
4
Name
Order
Citations
PageRank
Giulio Mori163242.10
Maria Claudia Buzzi216023.60
Marina Buzzi324233.45
Barbara Leporini442846.45