Tag Thunder : Towards Non-Visual Web Page Skimming
| Autor: | Jean-Marc Lecarpentier, Elena Manishina, Fabrice Maurel, Maxence Busson, Stéphane Ferrari |
|---|---|
| Přispěvatelé: | Ferrari, Stéphane, Equipe Hultech - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), Université de Caen Normandie (UNICAEN) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
[INFO.INFO-WB] Computer Science [cs]/Web
Computer science Speech recognition media_common.quotation_subject Keyword extraction [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing Speech synthesis 02 engineering and technology [INFO] Computer Science [cs] computer.software_genre GeneralLiterature_MISCELLANEOUS Key terms 020204 information systems Reading (process) Web page 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ComputingMilieux_MISCELLANEOUS media_common Information retrieval Thunder [INFO.INFO-WB]Computer Science [cs]/Web 020207 software engineering [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing Key (cryptography) Tag cloud [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC] computer |
| Zdroj: | ASSETS 18th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’16) 18th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’16), Oct 2016, Reno, Nevada, United States |
| Popis: | Tag thunder is an audio version of a visual tag cloud content representation. Tag thunders aim to bring quick reading strategies, such as skimming, to blind people. Tag thunders vocalize the key terms of a page using concurrent speech paradigm coupled with additional audio effects, similar to visual effects in a tag cloud. In this paper we present our implementation of the tag thunder concept. Our system comprises three modules: page segmentation, key term extraction and tag thunder vocalization. The evaluation results show the viability of the tag thunder concept. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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