Newsreader Application for Blind People using Text to Speech Synthesis

Abstract

Newspapers are the source of news and Information and more over it’s a window to the outside World unfortunately some of us need others help to gain the knowledge. Multilingual Newspaper Reading System is a system which enables such people to get benefit of newspaper reading without depending others. It’s an application which collects, classifies and reads online Newspapers in different languages. The system supports languages like English, Hindi and Marathi. The technologies like speech recognition, speech synthesis and the web are integrated together in the system. The major application of the system will be in the form of an assistive technology for visually or physically challenged, senior citizens and even the illiterate. The application also helps the busy personalities to read the Newspaper, as it provides hands free access to the news sites. The major enhancements are integration of Multilingual Automatic Speech Recognition (ASR), Multilingual Text-to-Speech system with other enhanced features like keyword search facility, Intelligent/ Auto customization in accordance with user and paper independent classified headings. The integration of ASR enables user to operate the system in complete hands free mode.

Authors and Affiliations

Neha Bhavani, Twinkle Patel, Pranjal Chaudhari, Mukti Patel, Abhay Gaidhani

Keywords

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  • EP ID EP23926
  • DOI http://doi.org/10.22214/ijraset.2017.4220
  • Views 310
  • Downloads 8

How To Cite

Neha Bhavani, Twinkle Patel, Pranjal Chaudhari, Mukti Patel, Abhay Gaidhani (2017). Newsreader Application for Blind People using Text to Speech Synthesis. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(4), -. https://europub.co.uk/articles/-A-23926