Proceeding of

1st Int. Conf. on Recent Trends & Research in Engineering and Science

(ICRTRES-2015)

21-23 March, 2015

 

Organized By

Padm. Dr. V. B. Kolte College of Engineering & Polytechnic, Malkapur

 

as

A Special Issue of

International Journal of Computer Science and Applications

(ISSN:0974-1011)

 

Advisory Committee

Dr. G. R. Bamnote

(Dean, Faculty of Engg, SGBAU Amravati)

 

Dr. B. E. Narkhede

(Vice President IIIE, Mumbai)

 

Dr. Md. Mamun Habib

(University Utara Malaysia (UUM, Malaysia)

 

Dr. C. R. Patil

(Prof. PRMIT&R Badnera, Amravati)

 

Dr. T. R. Deshmukh

(Prof. PRMIT&R Badnera, Amravati)

 

Dr. W. Z. Gandhare

(Principal, Govt. College of Engineering Amravati)

 

Dr. D. N. Kyatanavar

(Principal, SRESCOE Kopargaon)

 

Dr. U. Pendharkar

(Professor, Government Engineering College, Ujjain)

 

Dr. Ajit Thete

(Director, Centre for Development of Leadership in    Education Pvt Ltd, Aurangabad)

 

Technical Committee

Dr. M. T. Datar

Dr. S. K. Garg

Dr. Shrikaant Kulkarni

Shri. D. N. Patil

Dr. A. W. Kolte

Prof. Ajitabh Pateriya

Prof. P. K. Patil

Prof. S.N. Khachane

Prof. Parag Chourey

Prof. B.K.Chaudhari

Prof. N.A. Kharche

Prof. R.M. Choudhari

Prof. R. B. Pandhare

Prof. A.P. Jadhao

Prof. S.B. Jadhav

Prof. Santosh Raikar

Prof. Y.P. Sushir

Prof. B. M. Tayde

 

Editor

Prof. K. H. Walse

 

Research Publications, India

 

 

   
 
 
 
IJCSA ISSN: 0974-1011 (Online) >>    
Title:

Text to Speech Converter (A marvel for visually challenged people)

Author:

Sagar S. Alande, Soumi S. Sharma and  Ajita A. Chavan

 

Abstract

A text to speech system (TTS) converts normal language text into speech. An intelligible system allows people with visual impairments or reading disabilities to listen to written works. The proposed system has been the hardware solution for synthesizing speech thus enabling access to digital content in voice mode. Our project has been categorized into two, image processing and speech processing. The main objective is to provide operands recognized as alphabets and numbers using a camera, followed by segmentation and feature extraction in Matlab. The text is sent to the DSP processor TMS320C6713 which synthesizes the data, disintegrates into allophones and provides a voice output of the input text after image processing.



2015 International Journal of Computer Science and Applications 

Published by Research Publications, India