A Prototype of a Semantic Platform with a Speech Recognition System for Visual Impaired People

Jimmy Rosales-Huamaní¹, José Castillo-Sequera², Fabricio Puente-Mansilla¹, Gustavo Boza-Quispe¹

¹National University of Engineering, Lima, Peru.
²Alcala University, Madrid, Spain.

DOI: 10.4236/jilsa.2015.74008                

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.

Keywords

Semantic Web, Ontology, ASR, Raspberry Pi

Conflicts of Interest

The authors declare no conflicts of interest.

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