JILSA  Vol.7 No.4 , November 2015
A Prototype of a Semantic Platform with a Speech Recognition System for Visual Impaired People
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.

Cite this paper
Rosales-Huamaní, J. , Castillo-Sequera, J. , Puente-Mansilla, F. and Boza-Quispe, G. (2015) A Prototype of a Semantic Platform with a Speech Recognition System for Visual Impaired People. Journal of Intelligent Learning Systems and Applications, 7, 87-92. doi: 10.4236/jilsa.2015.74008.
References
[1]   Berners-Lee, T., Hendler, J., Lassila, O., et al. (2001) The Semantic Web. Scientific American, 284, 28-37.

[2]   Garcia-Crespo, A., Ruiz-Mezcua, B., Gonzalez-Carrasco, I., Lopez-Cuadrado, J., Hernandez, Z., Barahona, R. and Holnes de Toppin, L. (2014) Accessibility Services and Interactive Digital Television: An Opportunity to Reduce the Digital Gap. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 9, 8-16.

[3]   Zakraoui, J. and Zagler, W. (2010) An Ontology for Representing Context in User Interaction for Enhancing Web Accessibility for All. http://pf-mh.uvt.rnu.tn/56/

[4]   Nganji, J.T., Brayshaw, M. and Tompsett, B. (2011) Ontology-Based E-Learning Personalization for Disabled Students in Higher Education. Innovation in Teaching and Learning in Information and Com-puter Sciences, 10, 1-11.

[5]   Kehagias, D. and Tzovaras, D. (2010) An Ontology-Based Framework for Web Service Integration and Delivery to Mobility Impaired Users. In: Lytras, M., Ordonez De Pablos, P., Ziderman, A., Roulstone, A., Maurer, H. and Imber, J., Eds., Knowledge Management, Information Systems, E-Learning, and Sustainability Research, Springer Berlin Heidelberg, Berlin, 555-563.

[6]   Gupta, S. and Garg, D. (2011) Ontology Based Information Retrieval for Learning Styles of Autistic People. In: Mantri, A., Nandi, S., Kumar, G., and Kumar, S., Eds., High Performance Architecture and Grid Computing, Volume 169 of Communications in Computer and Information Science, Springer Berlin Heidelberg, Berlin, 293-298.
http://dx.doi.org/10.1007/978-3-642-22577-2_40

[7]   Epelde, G., Valencia, X., Abascal, J., Diaz, U., Zinnikus, I. and Husodo-Schulz, C. (2011) Tv as a Human Interface for Ambient Intelligence Environments. 2011 IEEE International Conference on Multimedia and Expo (ICME), Barcelona, 11-15 July 2011, 1-6.
http://dx.doi.org/10.1109/ICME.2011.6012186

[8]   Keet, C.M., Alberts, R., Gerber, A. and Chimamiwa, G. (2008) Enhancing Web Portals with Ontology-Based Data Access: The Case Study of South Africa’s Accessibility Portal for People with Disabilities. OWLED, 432. http://ceur-ws.org/Vol-432/

[9]   Alonso, K., Aginako, N., Lozano, J. and Olaizola, I. (2012) Ontology Based Middleware for Ranking and Retrieving Information on Locations Adapted for People with Special Needs. In: Miesenberger, K., Karshmer, A., Penaz, P. and Zagler, W., Eds., Computers Helping People with Special Needs, Volume 7382 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, Berlin, 351-354.
http://dx.doi.org/10.1007/978-3-642-31522-0_53

[10]   Bukhari, A. and Kim, Y.-G. (2012) Ontology-Assisted Automatic Precise Information Extractor for Visually Impaired Inhabitants. Artificial Intelligence Review, 38, 9-24.

[11]   Vassilev, V., Ulman, M., Ouazzane, K., Kazemian, H., Aigbodi, M. and Boyd, R. (2013) Ontocarer: An Ontological Framework for Assistive Agents for the Disabled. The 3rd International Conference on Digital Information Processing and Communications (ICDIPC2013), Dubai, 30 January-1 February 2013, 404-416.

[12]   Yu, L. (2007) Introduction to the Semantic Web and Semantic Web Services. CRC Press, Boca Raton.
http://dx.doi.org/10.1201/9781584889342

[13]   Fernández-López, M., Gómez-Pérez, A. and Juristo, N. (1997) Methontology: From Ontological Art towards Ontological Engineering. http://oa.upm.es/id/file/88930

[14]   Yu, L. (2011) A Developers Guide to the Semantic Web. Springer Science & Business Media, Berlin.
http://dx.doi.org/10.1007/978-3-642-15970-1

[15]   Antoniou, G. and Van Harmelen, F. (2004) A Semantic Web Primer. MIT Press, Cambridge, USA.

[16]   Pradel, C., Haemmerl, O. and Hernandez, N. (2012) A Semantic Web Interface Using Patterns: The Swip System. In: Croitoru, M., Rudolph, S., Wilson, N., Howse, J. and Corby, O., Eds., Graph Structures for Knowledge Representation and Reasoning, Springer Berlin Heidelberg, Barcelona, 172-187. http://dx.doi.org/10.1007/978-3-642-29449-5_7

[17]   Duarte, T., Prikladnicki, R., Calefato, F. and Lanubile, F. (2014) Speech Recognition for Voice-Based Machine Translation. IEEE Software, 31, 26-31.

[18]   Stefanovic, M., Cetic, N., Kovacevic, M., Kovacevic, J. and Jankovic, M. (2012) Voice Control System with Advanced Recognition. 20th Telecommunications Forum (TELFOR), Belgrade, 20-22 November 2012, 1601-1604.
http://dx.doi.org/10.1109/TELFOR.2012.6419529

[19]   Naeem, A., Qadir, A. and Safdar, W. (2014) Voice Controlled Intelligent Wheelchair Using Raspberry Pi. International Journal of Technology and Research, 2, 65.

[20]   Unger, C., Bühman, L., Lehmann, J., Ngonga Ngomo, A.-C., Gerber, D. and Cimian, P. (2012) Template-Based Question Answering over RDF Data. Proceedings of the 21st International Confer-ence on World Wide Web, New York, 639-648.

 
 
Top