Clustering analysis of phonetic and text feature vectors
Konferenční objektOtevřený přístuppeer-reviewedpostprintDatum publikování
2017
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Vydavatel
IEEE (Institute of Electrical and Electronics Engineers)
Abstrakt
Our goal is to show an example of using statistical methods to analyse some attributes of speeches. For this purpose, the New Year’s Day speeches of Czech and Czechoslovak presidents are chosen. The aim of our study is researching similarities among these speeches and their recognizability through the history of Czechoslovak politics. All presidents are compared between each other. The comparison method is based on principal component analysis and cluster analysis. Important part is creating a feature vector. The feature vector doesn't have to be the same for successful clustering. There are many varieties and combinations of features that can be selected and used. Correlated variables must be discarded. The most significant features are chosen to represent and characterize the speaker. Some speakers can have something in common according to the chosen features. Or on the other hand they can differ much more from others. This kind of approach can help us to recognize a speech pattern of each spokesman independently.
Rozsah stran
p. 146-151
ISSN
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Projekt
SGS_2017_024/Algoritmy fonetické analýzy a matematické estetiky
Zdrojový dokument
Proceeding of 2017 IEEE 14TH International Scientific Conference on Informatics
Vydavatelská verze
Přístup k e-verzi
open access
Název akce
2017 IEEE 14th International Scientific Conference on Informatics INFORMATICS 2017 (14.11.2017 - 16.11.2017, Poprad)
ISBN
978-1-5386-0888-3
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Klíčová slova
cluster analysis, New Year’s Day speeches, President, feature vectors, voice analysis, energy, zero crossing rate, speech velocity, linguistics, phonetics, segmentation, frames, audio processing, speaker comparison, principal component analysis, shlukování, novoroční projevy, prezident, příznakový vektor, analýza hlasu, energie, počet průchodů nulou, rychlost řeči, lingvistika, fonetika, segmentace, zpracování zvuku, porovnání řečníků, metoda hlavních komponent