TITLE:
A Prototype of a Semantic Platform with a Speech Recognition System for Visual Impaired People
AUTHORS:
Jimmy Rosales-Huamaní, José Castillo-Sequera, Fabricio Puente-Mansilla, Gustavo Boza-Quispe
KEYWORDS:
Semantic Web, Ontology, ASR, Raspberry Pi
JOURNAL NAME:
Journal of Intelligent Learning Systems and Applications,
Vol.7 No.4,
September
29,
2015
ABSTRACT: In the world, 10% of the world population
suffer with some type of disability, however the fast technological development
can originate some barriers that these people have to face if they want to
access to technology. This is particularly true in the case of visually
impaired users, as they require special assistance when they use any computer
system and also depend on the audio for navigation tasks. Therefore, this paper
is focused on making a prototype of a semantic platform with web accessibility
for blind people. We propose a method to interaction with user through voice
commands, allowing the direct communication with the platform. The proposed
platform will be implemented using Semantic Web tools, because we intend to
facilitate the search and retrieval of information in a more efficient way and
offer a personalized learning. Also, Google APIs (STT (Speech to Text) and TTS
(Text to Speech)) and Raspberry Pi board will be integrated in a speech
recognition module.