Information system strategic plan for Bulacan State University

The performance of a speaker recognizer like the speaker verifier strongly depends on the input feature. The feature set has to be both highly discriminative and compact to get a good performance. This study aims to introduce a new approach of feature extraction specifically designed for Speaker Ver...

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Main Author: Lagman, Ghia Aniflauni
Format: text
Language:English
Published: Animo Repository 2005
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Online Access:https://animorepository.dlsu.edu.ph/etd_masteral/3245
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10083/viewcontent/CDTG003823_P.pdf
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_masteral-100832023-05-29T09:28:13Z Information system strategic plan for Bulacan State University Lagman, Ghia Aniflauni The performance of a speaker recognizer like the speaker verifier strongly depends on the input feature. The feature set has to be both highly discriminative and compact to get a good performance. This study aims to introduce a new approach of feature extraction specifically designed for Speaker Verification System. The feasibility of using a Genetic Algorithms/Decision Tree (GA/DT) hybrid approach to choose from the original MFCC (Mel-Frequency Cepstral Coefficient) data the set of feature vectors that appropriately represents personal speech characteristics of a speaker is investigated. The GA is used to evolve selected feature vectors and the decision tree (DT) algorithm is used to evaluate the fitness functions of the chromosomes (feature sets) evolved by the GA. Moreover, it evaluates and compares, in terms of speed and accuracy, the performance of the Speaker Verification System (SVS) using the General Approach and the SVS with the GA/DT Hybrid Approach. There are two (2) sets of data used in the experiments, namely, the clean data taken from the TIMIT database that is provided in the SPEAR database of CSLU and the unclean data taken from real life recordings of the speakers that deal with constant background noise. For the clean data, the performance of the two (2) systems and the existing work are all compared in terms of accuracy. The results show that the performance of the two systems is comparable with the existing work. Moreover, the SVS w/ the GA/DT hybrid approach performs better than the General Approach in terms of accuracy and speed. On the other hand, for the unclean data, the experimental results show that the SVS with the GA/DT hybrid approach performs better than the General Approach in terms of accuracy and speed but the results obtained is not as good as using a clean data. We still think that this is a good result though since we are able to find out that the idea we put in our proposed model worked. Perhaps in the future our proposed model would be improved further. 2005-01-01T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etd_masteral/3245 https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10083/viewcontent/CDTG003823_P.pdf Master's Theses English Animo Repository Bulacan State University Strategic planning Information storage and retrieval systems Database searching Genetic algorithms Computer programs Databases and Information Systems
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Bulacan State University
Strategic planning
Information storage and retrieval systems
Database searching
Genetic algorithms
Computer programs
Databases and Information Systems
spellingShingle Bulacan State University
Strategic planning
Information storage and retrieval systems
Database searching
Genetic algorithms
Computer programs
Databases and Information Systems
Lagman, Ghia Aniflauni
Information system strategic plan for Bulacan State University
description The performance of a speaker recognizer like the speaker verifier strongly depends on the input feature. The feature set has to be both highly discriminative and compact to get a good performance. This study aims to introduce a new approach of feature extraction specifically designed for Speaker Verification System. The feasibility of using a Genetic Algorithms/Decision Tree (GA/DT) hybrid approach to choose from the original MFCC (Mel-Frequency Cepstral Coefficient) data the set of feature vectors that appropriately represents personal speech characteristics of a speaker is investigated. The GA is used to evolve selected feature vectors and the decision tree (DT) algorithm is used to evaluate the fitness functions of the chromosomes (feature sets) evolved by the GA. Moreover, it evaluates and compares, in terms of speed and accuracy, the performance of the Speaker Verification System (SVS) using the General Approach and the SVS with the GA/DT Hybrid Approach. There are two (2) sets of data used in the experiments, namely, the clean data taken from the TIMIT database that is provided in the SPEAR database of CSLU and the unclean data taken from real life recordings of the speakers that deal with constant background noise. For the clean data, the performance of the two (2) systems and the existing work are all compared in terms of accuracy. The results show that the performance of the two systems is comparable with the existing work. Moreover, the SVS w/ the GA/DT hybrid approach performs better than the General Approach in terms of accuracy and speed. On the other hand, for the unclean data, the experimental results show that the SVS with the GA/DT hybrid approach performs better than the General Approach in terms of accuracy and speed but the results obtained is not as good as using a clean data. We still think that this is a good result though since we are able to find out that the idea we put in our proposed model worked. Perhaps in the future our proposed model would be improved further.
format text
author Lagman, Ghia Aniflauni
author_facet Lagman, Ghia Aniflauni
author_sort Lagman, Ghia Aniflauni
title Information system strategic plan for Bulacan State University
title_short Information system strategic plan for Bulacan State University
title_full Information system strategic plan for Bulacan State University
title_fullStr Information system strategic plan for Bulacan State University
title_full_unstemmed Information system strategic plan for Bulacan State University
title_sort information system strategic plan for bulacan state university
publisher Animo Repository
publishDate 2005
url https://animorepository.dlsu.edu.ph/etd_masteral/3245
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10083/viewcontent/CDTG003823_P.pdf
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