Speaker identification by K-nearest neighbors: Application of PCA and LDA prior to KNN
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00323534" target="_blank" >RIV/68407700:21230/11:00323534 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/5977419" target="_blank" >https://ieeexplore.ieee.org/document/5977419</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Speaker identification by K-nearest neighbors: Application of PCA and LDA prior to KNN
Original language description
This article presents the task of speaker identification in a closed group. It discusses main steps of the identification process ranging from the proper speech features to the classification methods and statistical signal processing. However, its main focus is on tuning the final system using KNN classification method by setting up the number of neighbors, and reducing the feature vector dimension by PCA and LDA not only to speed up but possibly improve the overall performance. By selecting eligible number of neighbors a 6% improvement in the recognition was reached. Moreover, application of both PCA and LDA reduced the feature vector dimension by more than 50% while slightly increasing the recognition accuracy.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2011 18th International Conference on Systems, Signals and Image Processing
ISBN
978-9958-9966-1-0
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
295-298
Publisher name
University of Sarajevo
Place of publication
Sarajevo
Event location
Sarajevo
Event date
Jun 16, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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