Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:1 Issue:3 Year: 08 January,2014 Pages:110-114
This paper SMARRT NP an Education Operating System / Smarrt OS targeting towards a linux based Operating System, it is fully open source, it is portable, means user can use this OS anywhere at any machine without installing, simply by carrying it in portable drives user can use. To deliver E-learning Materials includes basic concepts, analysis, video lectures and simulation of concepts. To provide the standard of performance expected from the learners, information to be learned, and exercises that allow learners to evaluate their performance. All these process are fully developed and covert into bundle. That bundle is integrated into this operating system. The person who is impaired in hearing will not be able to understand what other’s speaking in a hand held devices, which makes them depressed and they aims to answer as a normal person. To overcome the above said difficulty an application for those is aimed, that is, Voice recognition software which translates anything the person says on the other end into readable text for the differently able person. So why not convert speech from an incoming call to text so I can read it? The user is offered the possibility of communicating with the incoming phone call using text-to-speech and speech-to-text capabilities. If receiving a phone call in a loud restaurant or quite meeting, you might be able to choose the ability to answer using text messaging. The text would later be then turned into speech for the caller to hear, and the caller’s verbal responses would likewise be converted back into text. This application is very important for millions of people having hearing disability. They make it possible for hearing people to enjoy immediate communication and give them independence to have a real time conversation and exchange information
SMARRTNP btrfs FAT NTFS
[1] Ricardo A. Calix, Leili Javadpour, Gerald M. Knapp “Detection of Affective States From Text and Speech for Real-Time Human–Computer Interaction”, Gerald M. Knapp, Industrial Engineering, 3128 Patrick F. Taylor Hall, Louisiana State University, Baton Rouge, LA 70803 [2] D.Sasirekha, E.Chandra, “Text To Speech: A Simple Tutorial” International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-2, Issue-1, March 2012 [3] Alexandre Trilla, “Natural Language Processing techniques in Text-To-Speech synthesis and Automatic Speech Recognition”, Departament de Tecnologies Media Enginyeria i Arquitectura La Salle (Universitat Ramon Llull), Barcelona, Spain, January, 2009 [4] Simon King, “An introduction to statistical parametric speech synthesis”, Sadhana Vol. 36, Part 5, October 2011, pp. 837–852.