Easy Reader: Audio Book listener

Authors

  • Anjali A. Thakre  Information Technology, RTMNU/ K.D.K.C.E/ Nagpur, Maharashtra, India
  • Pooja J. Shivhare  Information Technology, RTMNU/ K.D.K.C.E/ Nagpur, Maharashtra, India
  • Pragati V. Palsapure  Information Technology, RTMNU/ K.D.K.C.E/ Nagpur, Maharashtra, India
  • Ashwini V. Bhoyar  Information Technology, RTMNU/ K.D.K.C.E/ Nagpur, Maharashtra, India
  • Shruti P. Bhatkulkar  Information Technology, RTMNU/ K.D.K.C.E/ Nagpur, Maharashtra, India

Keywords:

speech synthesis, speech recognition, speech analysis and processing, pdf converter, text-to-phoneme conversion.

Abstract

In this paper, we represent our study about the text to speech, mainly it work on text which is converted into the speech or called audio. In this android application we can convert the pdf file into the audio using Google API’s, usually the text get converted into the audio but not any file, specially its work for the pdf file. The people can easily use this application and it can take less time and memory. The development of a text to speech synthesizer will be of great help to people with visual impairment.

References

  1. India Educators' Conference (TIIEC), 2013 Texas instruments.
  2. Allen, Jonathan; Hunnicutt, M. Sharon; Klatt, Dennis (1987). From Text to Speech: The MITalk system. Cambridge University Press. ISBN 0-521-30641-8.
  3. Rubin, P.; Baer, T.; Mermelstein, P. (1981). "An articulatory synthesizer for perceptual research". Journal of the Acoustical Society of America. 70 (20): 321-328.
  4. "Speaker Independent Connected Speech Recognition-Fifth Generation Computer Corporation". Fifthgen.com. Retrieved 15 June 2013.
  5. "Java SE 7 Features and Enhancement". Oracle Corporation.  Retrieved 1 January 2013.
  6. "OpenJDK homepge". Oracle Corporation and/or its affiliates. Retrieved 1 January 2013.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Anjali A. Thakre, Pooja J. Shivhare, Pragati V. Palsapure, Ashwini V. Bhoyar, Shruti P. Bhatkulkar, " Easy Reader: Audio Book listener, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.702-708, March-April-2018.