Designing and spontaneous recognition of acquired speech signals

Authors

  • Akanksha Singh B.Tech-Electronics and Communication Engineering, SRM University , Chennai, India
  • S. Kolangiammal Assistant Professor , Sr. G , Electronics and Communication Engineering , SRM university , Chennai
  • K. Chaitanya B.Tech-Electronics and Communication Engineering, SRM University , Chennai, India
  • P.G. Vinay B.Tech-Electronics and Communication Engineering, SRM University , Chennai, India

Keywords:

recognition; image processing; segmentation; extraction; gesture; acquisition(key words)

Abstract

The aim of this paper is to present how speech signals can be recognized on the basis of image
processing and feature analysis. It involves the processes like detection, extraction and classification. The
main focus is to provide the users with user-friendly vocal with the computer and to allow certain
handicapped people (such as blind, dumb, poor vision, visual dyslexia) to use the computer or to read any
type of document.
The three major processes involved are Image capturing (the text to be read is captured and
processed), Text recognition(text is filtered from image) and finally Speech output (audio of the word or
sentence is formed).

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Published

2018-05-25

How to Cite

Akanksha Singh, S. Kolangiammal, K. Chaitanya, & P.G. Vinay. (2018). Designing and spontaneous recognition of acquired speech signals. International Journal of Advance Research in Engineering, Science & Technology, 5(5), 58–65. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1668

Issue

Vol. 5 No. 5 (2018): Volume: 05, Issue: 05 - May, 2018.

Section

Articles