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...

Full description

Saved in:
Bibliographic Details
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/49420/1/1-Development-of-Voice.pdf
http://irep.iium.edu.my/49420/
https://globaljournals.org
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.49420
record_format dspace
spelling my.iium.irep.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 REM 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 https://globaljournals.org
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/49420/1/1-Development-of-Voice.pdf
http://irep.iium.edu.my/49420/
https://globaljournals.org
_version_ 1643613533316841472
score 13.211869