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:
Online Access:http://irep.iium.edu.my/49420/
http://irep.iium.edu.my/49420/1/1-Development-of-Voice.pdf
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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
building IIUM Repository
collection Online Access
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%.
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publisher Global Journals Inc. (USA)
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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
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
title 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_short Development of voice recognition for student attendance
title_sort development of voice recognition for student attendance
topic TA Engineering (General). Civil engineering (General)
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