TY - JOUR
AU - 
AB - The present paper has introduced an innovative, efficient and real-time cost beneficial technique that enables user to hear the contents of text images instead of reading through them. It combines the concept of Optical Character Recognition (OCR) and Text to Speech Synthesizer (TTS) in Raspberry pi. This kind of system helps visually impaired people to interact with computers effectively through vocal interface. Text Extraction from color images is a challenging task in computer vision. Text-to-Speech conversion is a method that scans and reads English alphabets and numbers that are in the image using OCR technique and changing it to voices. This paper describes the design, implementation and experimental results of the device. This device consists of two modules, image processing module and voice processing module. The device was developed based on Raspberry Pi v2 with 900 MHz processor speed. Keywords: Image Processing, OCR, Text Extraction, Text-to-speech, Voice Processing 1. Introduction Optical character Recognition (OCR) is a process that converts scanned or printed text images , handwritten text into editable text for further processing. This paper has presented a robust approach for text extraction and converting it to speech. Testing of device was done on raspberry pi platform. e Th 
TI - Text to Speech Conversion
JF - Indian Journal of Science and Technology
DO - 10.17485/ijst/2016/v9i38/102967
DA - 2016-01-20
UR - https://www.deepdyve.com/lp/unpaywall/text-to-speech-conversion-VLcYavm0uc
DP - DeepDyve
ER -