Speech-based class attendance

In the department of engineering, students are required to fulfil at least 80 percent of class attendance. Conventional method requires student to sign his/her initial on the attendance sheet. However, this method is prone to cheating by having another student signing for their...

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Main Authors:	Amri, Umar Faizel, Nik Hashim, Nik Nur Wahidah, Mohamad Hanif, Noor Hazrin Hany
Format:	Conference or Workshop Item
Language:	English English
Published:	IOP Publishing 2017
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/59704/ http://irep.iium.edu.my/59704/ http://irep.iium.edu.my/59704/ http://irep.iium.edu.my/59704/7/59704-Speech-based%20Class%20Attendance.pdf http://irep.iium.edu.my/59704/13/59704%20Speech-based%20Class%20Attendance%20SCOPUS.pdf

id	iium-59704
recordtype	eprints
spelling	iium-597042018-03-20T02:44:01Z http://irep.iium.edu.my/59704/ Speech-based class attendance Amri, Umar Faizel Nik Hashim, Nik Nur Wahidah Mohamad Hanif, Noor Hazrin Hany T Technology (General) In the department of engineering, students are required to fulfil at least 80 percent of class attendance. Conventional method requires student to sign his/her initial on the attendance sheet. However, this method is prone to cheating by having another student signing for their fellow classmate that is absent. We develop our hypothesis according to a verse in the Holy Qur’an (95:4), “We have created men in the best of mould”. Based on the verse, we believe each psychological characteristic of human being is unique and thus, their speech characteristic should be unique. In this paper we present the development of speech biometric-based attendance system. The system requires user’s voice to be installed in the system as trained data and it is saved in the system for registration of the user. The following voice of the user will be the test data in order to verify with the trained data stored in the system. The system uses PSD (Power Spectral Density) and Transition Parameter as the method for feature extraction of the voices. Euclidean and Mahalanobis distances are used in order to verified the user’s voice. For this research, ten subjects of five females and five males were chosen to be tested for the performance of the system. The system performance in term of recognition rate is found to be 60% correct identification of individuals. IOP Publishing 2017-11-07 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/59704/7/59704-Speech-based%20Class%20Attendance.pdf application/pdf en http://irep.iium.edu.my/59704/13/59704%20Speech-based%20Class%20Attendance%20SCOPUS.pdf Amri, Umar Faizel and Nik Hashim, Nik Nur Wahidah and Mohamad Hanif, Noor Hazrin Hany (2017) Speech-based class attendance. In: 6th International Conference on Mechatronics - ICOM'17, 8-9 Aug 2017, Kuala Lumpur. http://iopscience.iop.org/article/10.1088/1757-899X/260/1/012008/pdf 10.1088/1757-899X/260/1/012008
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Amri, Umar Faizel Nik Hashim, Nik Nur Wahidah Mohamad Hanif, Noor Hazrin Hany Speech-based class attendance
description	In the department of engineering, students are required to fulfil at least 80 percent of class attendance. Conventional method requires student to sign his/her initial on the attendance sheet. However, this method is prone to cheating by having another student signing for their fellow classmate that is absent. We develop our hypothesis according to a verse in the Holy Qur’an (95:4), “We have created men in the best of mould”. Based on the verse, we believe each psychological characteristic of human being is unique and thus, their speech characteristic should be unique. In this paper we present the development of speech biometric-based attendance system. The system requires user’s voice to be installed in the system as trained data and it is saved in the system for registration of the user. The following voice of the user will be the test data in order to verify with the trained data stored in the system. The system uses PSD (Power Spectral Density) and Transition Parameter as the method for feature extraction of the voices. Euclidean and Mahalanobis distances are used in order to verified the user’s voice. For this research, ten subjects of five females and five males were chosen to be tested for the performance of the system. The system performance in term of recognition rate is found to be 60% correct identification of individuals.
format	Conference or Workshop Item
author	Amri, Umar Faizel Nik Hashim, Nik Nur Wahidah Mohamad Hanif, Noor Hazrin Hany
author_facet	Amri, Umar Faizel Nik Hashim, Nik Nur Wahidah Mohamad Hanif, Noor Hazrin Hany
author_sort	Amri, Umar Faizel
title	Speech-based class attendance
title_short	Speech-based class attendance
title_full	Speech-based class attendance
title_fullStr	Speech-based class attendance
title_full_unstemmed	Speech-based class attendance
title_sort	speech-based class attendance
publisher	IOP Publishing
publishDate	2017
url	http://irep.iium.edu.my/59704/ http://irep.iium.edu.my/59704/ http://irep.iium.edu.my/59704/ http://irep.iium.edu.my/59704/7/59704-Speech-based%20Class%20Attendance.pdf http://irep.iium.edu.my/59704/13/59704%20Speech-based%20Class%20Attendance%20SCOPUS.pdf
first_indexed	2023-09-18T21:24:35Z
last_indexed	2023-09-18T21:24:35Z
_version_	1777412106742661120

Speech-based class attendance

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