Multimode Summarized Text to Speech Conversion Application

Abstract

This paper draws focus towards  summarizing the tremendous amount of data  collected from various sources and presenting the  output as speech. In recent years, huge data sets are  being generated every moment and it becomes  difficult to manage it. In order to extract relevant  information, an innovative, efficient and real- time  cost beneficial technique is required that enables  users to hear the summarized content instead of  reading it. This kind of application is beneficial for  visually impaired and people with disabilities. Text  Rank algorithm, a ranking based approach is  proposed with a variation in similarity function to  make summary based on the scores computed for  each sentence. The summarized text is then spoken  out using text-to-speech synthesizer (TTS).