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Clustering analysis of phonetic and text feature vectors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F17%3A39911500" target="_blank" >RIV/00216275:25530/17:39911500 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/INFORMATICS.2017.8327237" target="_blank" >http://dx.doi.org/10.1109/INFORMATICS.2017.8327237</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/INFORMATICS.2017.8327237" target="_blank" >10.1109/INFORMATICS.2017.8327237</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Clustering analysis of phonetic and text feature vectors

  • Original language description

    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&apos;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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceeding of 2017 IEEE 14TH International Scientific Conference on Informatics

  • ISBN

    978-1-5386-0888-3

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    146-151

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Poprad

  • Event date

    Nov 14, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article