Multimode Summarized Text to Speech Conversion Application

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).