IMAGE TEXT CONVERSION FROM REGIONAL LANGUAGE TO SPEECH / TEXT IN LOCAL LANGUAGE

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Rashmi Mohansingh Solanki; Grasha Khiyani; Sufiyan Momin

IMAGE TEXT CONVERSION FROM REGIONAL LANGUAGE TO SPEECH / TEXT IN LOCAL LANGUAGE

Authors: Rashmi Mohansingh Solanki, Grasha Khiyani, Sufiyan Momin

Unique Paper ID: 149548
Volume: 6
Issue: 12
PageNo: 726-731

Keywords: Google Speech API Raspberry pi Tesseract OCR engine USB camera module Speakers.

Abstract:
Human communication today is mainly via speech and text. To access information in a text, a person needs to have vision. However, those who are deprived of vision can gather information using their hearing capability. The proposed project involves Text Extraction from image and converting the Text to Speech converter, a process which makes a person unaware about written language to read the text. This is the first step in developing a prototype for such people for recognizing the products in the real world, where the text on the sign board is extracted and converted into speech. This is carried out by using Raspberry pi, where portability is the main aim which is achieved by providing a battery backup and can be implemented as a future technology. The portability allows the user to carry the device anywhere and can use any time. Recently according to the survey carried out in metro cities, it was observed that 78% of the accidents were due to the driverâ€™s fault. This project aims at effective and efficient interpretation of the signs or regional languages. Thus, it would not just help the driver to drive smoothly but also allow him to be attentive. As many times observed, in hurry one may often neglect sign boards but with this project the display on the screen will make us aware of the important message. It can even use audio to make the driver aware more effectively thereby make the travel reliable.

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Cite This Article

ISSN: 2349-6002
Volume: 6
Issue: 12
PageNo: 726-731

IMAGE TEXT CONVERSION FROM REGIONAL LANGUAGE TO SPEECH / TEXT IN LOCAL LANGUAGE

Available:https://ijirt.org/article?manuscript=149548

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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