Speaker recognition using neural network

Speaker recognizer may be employed as part of a security system requiring user authentication. Mostly, years by years there have been several techniques being developed to achieve high success rate of accuracy in the identification and verification of individuals for authentication in security syste...

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Main Author:	Zul Rasyied, Ab. Rasat
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/7736/ http://umpir.ump.edu.my/id/eprint/7736/ http://umpir.ump.edu.my/id/eprint/7736/1/ZUL_RASYIED_BIN_AB._RASAT.PDF

id	ump-7736
recordtype	eprints
spelling	ump-77362016-07-14T03:44:57Z http://umpir.ump.edu.my/id/eprint/7736/ Speaker recognition using neural network Zul Rasyied, Ab. Rasat QA Mathematics Speaker recognizer may be employed as part of a security system requiring user authentication. Mostly, years by years there have been several techniques being developed to achieve high success rate of accuracy in the identification and verification of individuals for authentication in security systems. A major application area of such systems would be providing security for telephone-mediated transaction systems where some form of anatomical or "biometric" identification is desirable. In daily usage, it maybe can be used in car environment or building to voice control non-critical operation such as open the gate to ensure a maximum control to the car or building and enhance the safety. This project is emphasizes on speaker recognizer system which is automatically verifying or recognizing the identity of the speakers based on voice unique characteristics. This system will be focusing on textdependant method and in open-set situation. The feature extraction is done by Mel Frequency Cepstral Coefficients (MFCC). The feature for the speaker who has to be identified are extracted and compared with the stored templates by using Backpropagation Algorithm. After that, the trained network corresponds to the output meanwhile the input is the extracted features of the speaker are identified. The best match of recognize voice is found the speaker identity after the network has done its weight adjustment. For the decision-making purpose, Artificial Neural Network (ANN) method will be used. This project will be done by applying Neural Network Toolbox in MATLAB software. Lastly, the system should be able to automatically accept or reject the voice of different person based on voice unique characteristic. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7736/1/ZUL_RASYIED_BIN_AB._RASAT.PDF Zul Rasyied, Ab. Rasat (2012) Speaker recognition using neural network. Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:77765&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Zul Rasyied, Ab. Rasat Speaker recognition using neural network
description	Speaker recognizer may be employed as part of a security system requiring user authentication. Mostly, years by years there have been several techniques being developed to achieve high success rate of accuracy in the identification and verification of individuals for authentication in security systems. A major application area of such systems would be providing security for telephone-mediated transaction systems where some form of anatomical or "biometric" identification is desirable. In daily usage, it maybe can be used in car environment or building to voice control non-critical operation such as open the gate to ensure a maximum control to the car or building and enhance the safety. This project is emphasizes on speaker recognizer system which is automatically verifying or recognizing the identity of the speakers based on voice unique characteristics. This system will be focusing on textdependant method and in open-set situation. The feature extraction is done by Mel Frequency Cepstral Coefficients (MFCC). The feature for the speaker who has to be identified are extracted and compared with the stored templates by using Backpropagation Algorithm. After that, the trained network corresponds to the output meanwhile the input is the extracted features of the speaker are identified. The best match of recognize voice is found the speaker identity after the network has done its weight adjustment. For the decision-making purpose, Artificial Neural Network (ANN) method will be used. This project will be done by applying Neural Network Toolbox in MATLAB software. Lastly, the system should be able to automatically accept or reject the voice of different person based on voice unique characteristic.
format	Undergraduates Project Papers
author	Zul Rasyied, Ab. Rasat
author_facet	Zul Rasyied, Ab. Rasat
author_sort	Zul Rasyied, Ab. Rasat
title	Speaker recognition using neural network
title_short	Speaker recognition using neural network
title_full	Speaker recognition using neural network
title_fullStr	Speaker recognition using neural network
title_full_unstemmed	Speaker recognition using neural network
title_sort	speaker recognition using neural network
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/7736/ http://umpir.ump.edu.my/id/eprint/7736/ http://umpir.ump.edu.my/id/eprint/7736/1/ZUL_RASYIED_BIN_AB._RASAT.PDF
first_indexed	2023-09-18T22:04:40Z
last_indexed	2023-09-18T22:04:40Z
_version_	1777414627679797248

Speaker recognition using neural network

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