Development of voice recognition for student attendance

Abstract- Development of voice recognition for student attendance system is beneficial in many ways. It helps the lecturer in administrative the attendance of their student with efficiency. This is because students always cheat with their attendancy by signing on behalf of their friend who did no...

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Main Authors:	Uddin , Nasir, Rashid, Muhammad Mahbubur, Mostafa, Mohammad Golam, H, Belayet, Salam, SM, Nithe, NA, Rahman, MW, Halder , S
Format:	Article
Language:	English
Published:	Global Journals Inc. (USA) 2016
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://irep.iium.edu.my/49420/ http://irep.iium.edu.my/49420/ http://irep.iium.edu.my/49420/1/1-Development-of-Voice.pdf

id	iium-49420
recordtype	eprints
spelling	iium-494202016-10-17T07:09:22Z http://irep.iium.edu.my/49420/ Development of voice recognition for student attendance Uddin , Nasir Rashid, Muhammad Mahbubur Mostafa, Mohammad Golam H, Belayet Salam, SM Nithe, NA Rahman, MW Halder , S TA Engineering (General). Civil engineering (General) Abstract- Development of voice recognition for student attendance system is beneficial in many ways. It helps the lecturer in administrative the attendance of their student with efficiency. This is because students always cheat with their attendancy by signing on behalf of their friend who did not attend class. With this project, voice biometric is used as a medium for student to mark their attendance. Cheating among students will be prevented because like fingerprints, each voice is different. The objectives of this project are to study and understand the properties understand the properties of speaker recognition and to analyze the effectiveness of using Euclidean distance feature for speaker recognition. Databases of 26 volunteers were collected consisting of only male. The report result is tabulated. Three types of analysis were done, first same train is used as test data reported 100% correct. The remaining two analyses used different test data recording. Volunteers use the same sentence as test data reported 76.92% correct. Lastly volunteers used their name and the correct percentage is 46.15%. Global Journals Inc. (USA) 2016 Article PeerReviewed application/pdf en http://irep.iium.edu.my/49420/1/1-Development-of-Voice.pdf Uddin , Nasir and Rashid, Muhammad Mahbubur and Mostafa, Mohammad Golam and H, Belayet and Salam, SM and Nithe, NA and Rahman, MW and Halder , S (2016) Development of voice recognition for student attendance. Global Journal of Human-Social Science: G Linguistics & Education, 16 (1). pp. 1-6. ISSN 0975-587X E-ISSN 2249-460X https://globaljournals.org
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Uddin , Nasir Rashid, Muhammad Mahbubur Mostafa, Mohammad Golam H, Belayet Salam, SM Nithe, NA Rahman, MW Halder , S Development of voice recognition for student attendance
description	Abstract- Development of voice recognition for student attendance system is beneficial in many ways. It helps the lecturer in administrative the attendance of their student with efficiency. This is because students always cheat with their attendancy by signing on behalf of their friend who did not attend class. With this project, voice biometric is used as a medium for student to mark their attendance. Cheating among students will be prevented because like fingerprints, each voice is different. The objectives of this project are to study and understand the properties understand the properties of speaker recognition and to analyze the effectiveness of using Euclidean distance feature for speaker recognition. Databases of 26 volunteers were collected consisting of only male. The report result is tabulated. Three types of analysis were done, first same train is used as test data reported 100% correct. The remaining two analyses used different test data recording. Volunteers use the same sentence as test data reported 76.92% correct. Lastly volunteers used their name and the correct percentage is 46.15%.
format	Article
author	Uddin , Nasir Rashid, Muhammad Mahbubur Mostafa, Mohammad Golam H, Belayet Salam, SM Nithe, NA Rahman, MW Halder , S
author_facet	Uddin , Nasir Rashid, Muhammad Mahbubur Mostafa, Mohammad Golam H, Belayet Salam, SM Nithe, NA Rahman, MW Halder , S
author_sort	Uddin , Nasir
title	Development of voice recognition for student attendance
title_short	Development of voice recognition for student attendance
title_full	Development of voice recognition for student attendance
title_fullStr	Development of voice recognition for student attendance
title_full_unstemmed	Development of voice recognition for student attendance
title_sort	development of voice recognition for student attendance
publisher	Global Journals Inc. (USA)
publishDate	2016
url	http://irep.iium.edu.my/49420/ http://irep.iium.edu.my/49420/ http://irep.iium.edu.my/49420/1/1-Development-of-Voice.pdf
first_indexed	2023-09-18T21:09:53Z
last_indexed	2023-09-18T21:09:53Z
_version_	1777411181290455040

Development of voice recognition for student attendance

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