Deep Learning based Bangla Voice to Braille Character Conversion System

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliographic Details
Main Authors:	Iqbal, Syed Bayes, Rifat, Riazul Islam, Hussain, Md Akif, Biswas, Simon
Other Authors:	Alam, Md. Golam Rabiul
Format:	Thesis
Language:	en_US
Published:	Brac University 2022
Subjects:	Convolutional neural network(CNN) Braille Spectrogram Classification VGG-16 Arduino Uno LCD 16x4 display Machine Learning Computer algorithms Cognitive learning theory (Deep learning)
Online Access:	http://hdl.handle.net/10361/17636

id	10361-17636
record_format	dspace
spelling	10361-176362022-12-12T21:01:42Z Deep Learning based Bangla Voice to Braille Character Conversion System Iqbal, Syed Bayes Rifat, Riazul Islam Hussain, Md Akif Biswas, Simon Alam, Md. Golam Rabiul Reza, Md. Tanzim Department of Computer Science and Engineering, Brac University Convolutional neural network(CNN) Braille Spectrogram Classification VGG-16 Arduino Uno LCD 16x4 display Machine Learning Computer algorithms Cognitive learning theory (Deep learning) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 24-25). From the very beginning of the 20th century, there has been a significant devel opment in the education system using modern technology. However, this rapid development has very little scope to facilitate the education system for the people without sight. Though braille is a method for sight disabled people it has not been incorporated that much with the modern education system. On the other hand, many papers and works have been done on it but a maximum of these is about the conversion of a text character to a braille pattern with considerable accuracy so far no work has been done that can work with voice to convert a character into braille pattern for Bangla language. This paper introduces a development that will help the visually impaired people to start their very basic education with a technology that is capable of recognizing a Bangla character uttered by a person and can convert that character into braille pattern so that using a finger touch one can recognize the cor responding braille for that character. This voice recognition will be done using the Visual Geometry Group (VGG-16) model of Convolutional Neural Network (CNN) and Arduino Uno, LCD 16x4 display will be used to generate the braille pattern for the recognized character. The model is trained with 50 epochs and we achieved 98% of train accuracy and after evaluating test data we gained 92.42% test accuracy. Syed Bayes Iqbal Riazul Islam Rifat Md Akif Hussain Simon Biswas B. Computer Science and Engineering 2022-12-12T09:25:18Z 2022-12-12T09:25:18Z 2022 2022-05 Thesis ID: 18101198 ID: 18101236 ID: 18101073 ID: 18101543 http://hdl.handle.net/10361/17636 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 25 Pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	en_US
topic	Convolutional neural network(CNN) Braille Spectrogram Classification VGG-16 Arduino Uno LCD 16x4 display Machine Learning Computer algorithms Cognitive learning theory (Deep learning)
spellingShingle	Convolutional neural network(CNN) Braille Spectrogram Classification VGG-16 Arduino Uno LCD 16x4 display Machine Learning Computer algorithms Cognitive learning theory (Deep learning) Iqbal, Syed Bayes Rifat, Riazul Islam Hussain, Md Akif Biswas, Simon Deep Learning based Bangla Voice to Braille Character Conversion System
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
author2	Alam, Md. Golam Rabiul
author_facet	Alam, Md. Golam Rabiul Iqbal, Syed Bayes Rifat, Riazul Islam Hussain, Md Akif Biswas, Simon
format	Thesis
author	Iqbal, Syed Bayes Rifat, Riazul Islam Hussain, Md Akif Biswas, Simon
author_sort	Iqbal, Syed Bayes
title	Deep Learning based Bangla Voice to Braille Character Conversion System
title_short	Deep Learning based Bangla Voice to Braille Character Conversion System
title_full	Deep Learning based Bangla Voice to Braille Character Conversion System
title_fullStr	Deep Learning based Bangla Voice to Braille Character Conversion System
title_full_unstemmed	Deep Learning based Bangla Voice to Braille Character Conversion System
title_sort	deep learning based bangla voice to braille character conversion system
publisher	Brac University
publishDate	2022
url	http://hdl.handle.net/10361/17636
work_keys_str_mv	AT iqbalsyedbayes deeplearningbasedbanglavoicetobraillecharacterconversionsystem AT rifatriazulislam deeplearningbasedbanglavoicetobraillecharacterconversionsystem AT hussainmdakif deeplearningbasedbanglavoicetobraillecharacterconversionsystem AT biswassimon deeplearningbasedbanglavoicetobraillecharacterconversionsystem
_version_	1814309368898781184

Deep Learning based Bangla Voice to Braille Character Conversion System

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