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'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
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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
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
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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
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