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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IOP Publishing
2017
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848785357472006144 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:51:51Z |
| format | Proceeding Paper |
| id | iium-59704 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:51:51Z |
| publishDate | 2017 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| spellingShingle | T Technology (General) Amri, Umar Faizel Nik Hashim, Nik Nur Wahidah Mohamad Hanif, Noor Hazrin Hany Speech-based class attendance |
| title | Speech-based class attendance |
| title_full | Speech-based class attendance |
| title_fullStr | Speech-based class attendance |
| title_full_unstemmed | Speech-based class attendance |
| title_short | Speech-based class attendance |
| title_sort | speech-based class attendance |
| topic | T Technology (General) |
| 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 |