Speaker recognition using mel frequency cepstrum
Automatic speaker recognition is the use of a machine (i.e. software or hardware) to recognize a person from a spoken phrase. This is done by identifying characteristic acoustic features of their voice which is unique. This makes it possible to use the speaker's voice to verify their identity...
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iium-216612012-09-05T23:51:05Z http://irep.iium.edu.my/21661/ Speaker recognition using mel frequency cepstrum Khalifa, Othman Omran Khan, Sheroz Islam, Md. Rafiqul Faizal, M. Dol, D. TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Automatic speaker recognition is the use of a machine (i.e. software or hardware) to recognize a person from a spoken phrase. This is done by identifying characteristic acoustic features of their voice which is unique. This makes it possible to use the speaker's voice to verify their identity and can be used to control access to services such as voice dialing, banking by telephone, database access service, security control for confidential information area and remote access to computers. Basically prior to a verification or identification session, users that are authorized to use the system will need to undergo enrollment session, where they provide speech samples that will be processed and stored in the database in order to be used later during the identification process. Here only certain important features that are unique to individuals are extracted while other redundancies are discarded IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21661/1/Chapter_28.pdf Khalifa, Othman Omran and Khan, Sheroz and Islam, Md. Rafiqul and Faizal, M. and Dol, D. (2011) Speaker recognition using mel frequency cepstrum. In: Human Behaviour Recognition, Identification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 263-288. ISBN 978-967-418-156-7 (In Press) http://rms.research.iium.edu.my/bookstore/default.aspx |
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Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
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IIUM Repository |
collection |
Online Access |
language |
English |
topic |
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
spellingShingle |
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Khalifa, Othman Omran Khan, Sheroz Islam, Md. Rafiqul Faizal, M. Dol, D. Speaker recognition using mel frequency cepstrum |
description |
Automatic speaker recognition is the use of a machine (i.e. software or hardware) to recognize a person from a spoken phrase. This is done by identifying characteristic acoustic
features of their voice which is unique. This makes it possible to use the speaker's voice to verify their identity and can be used to control access to services such as voice dialing, banking by telephone, database access service, security control for confidential information
area and remote access to computers. Basically prior to a verification or identification session, users that are authorized to use the system will need to undergo enrollment session, where they provide speech samples that will be processed and stored in the database in order
to be used later during the identification process. Here only certain important features that are unique to individuals are extracted while other redundancies are discarded |
format |
Book Chapter |
author |
Khalifa, Othman Omran Khan, Sheroz Islam, Md. Rafiqul Faizal, M. Dol, D. |
author_facet |
Khalifa, Othman Omran Khan, Sheroz Islam, Md. Rafiqul Faizal, M. Dol, D. |
author_sort |
Khalifa, Othman Omran |
title |
Speaker recognition using mel frequency cepstrum |
title_short |
Speaker recognition using mel frequency cepstrum |
title_full |
Speaker recognition using mel frequency cepstrum |
title_fullStr |
Speaker recognition using mel frequency cepstrum |
title_full_unstemmed |
Speaker recognition using mel frequency cepstrum |
title_sort |
speaker recognition using mel frequency cepstrum |
publisher |
IIUM Press |
publishDate |
2011 |
url |
http://irep.iium.edu.my/21661/ http://irep.iium.edu.my/21661/ http://irep.iium.edu.my/21661/1/Chapter_28.pdf |
first_indexed |
2023-09-18T20:33:00Z |
last_indexed |
2023-09-18T20:33:00Z |
_version_ |
1777408860757164032 |