Speaker recognition using mel frequency cepstrum

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)

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Abstract

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

Item Type:	Book Chapter
Additional Information:	4119/21661
Uncontrolled Keywords:	Speaker recognition, mel frequency cepstrum
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	24 Apr 2012 08:55
Last Modified:	19 Nov 2020 09:32
URI:	http://irep.iium.edu.my/id/eprint/21661

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