J.Rajeswari et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.3, March- 2014, pg. 595-602 © 2014, IJCSMC All Rights Reserved 595 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IJCSMC, Vol. 3, Issue. 3, March 2014, pg.595 – 602 RESEARCH ARTICLE New Touch Screen Application to Retrieve Speech Information J.Rajeswari 1 , E.Thanga Selvi 2 PG Scholar, Department of ECE, PSNA College of Engineering and Technology, Dindigul, TamilNadu 1 Associate Professor, Department of ECE, PSNA College of Engineering and Technology, Dindigul, TamilNadu 2 rajeswarijeyaraj@gmail.com 1 ,e.thangaselvi@gmail.com 2 Abstract- An adaptive speech rate control technology for ultra fast listening that is equivalent to skimming is described. Nowadays, listening to audio books on mobile devices is quite common. People read books at various levels of detail from close reading to skimming. Although a similar feature to skimming is required to efficiently obtain information from audio sources, there is no tool equivalent to skimming for audio playback. Therefore a new speech rate conversion method is developed to efficiently obtain information from audio sources with very fast replay. This algorithm will help not only sighted people to enjoy audio books but also visually impaired people because almost all of their information is obtained from speech. Thus, the implementation of this technology on special audio players for visually impaired people as a new replay function is expected to be useful. Moreover, this technology should be useful for all audio book listeners, not only people with limited sight. A new touch screen application is developed for consumer use. Keywords- Audio book, Mobile Phone, Speech Rate Conversion, Visually impaired, Text to Speech Conversion I. INTRODUCTION We read printed books and magazines at various levels of detail. The slowest case may be close reading, where attention is paid to each word and phrase. On the other hand, the fastest case is skimming, which is used to grasp the overall meaning of text in a short time. There is a similar need when obtaining information from audio sources such as audio books, DAISY (Digital Accessible Information System) talking books, and so forth. However, current audio playback systems have no function equivalent to skimming. Therefore, an algorithm is developed for a method of efficiently obtaining information from speech content that is equivalent to skimming printed books. Moreover, this algorithm is implemented in a popular touch screen application for consumer use. Fig. 1 shows the concept of “speech skimming”. The ultimate goal of this research is to develop a fast listening algorithm that everyone can use.