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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F12%3A86084508%21RIV13-MSM-27240___
rdf:type
n5:Vysledek skos:Concept
rdfs:seeAlso
http://advances.utc.sk/index.php/AEEE/article/view/738
dcterms:description
The paper deals with a classification of emotional state. We implemented a method for extracting the fundamental speech signal frequency by means of a central clipping and examined a correlation between emotional state and fundamental speech frequency. For this purpose, we applied an approach of exploratory data analysis. The ANOVA (Analysis of variance) test confirmed that a modification in the speaker's emotional state changes the fundamental frequency of human vocal tract. The main contribution of the paper lies in investigation, of central clipping method by the ANOVA. The paper deals with a classification of emotional state. We implemented a method for extracting the fundamental speech signal frequency by means of a central clipping and examined a correlation between emotional state and fundamental speech frequency. For this purpose, we applied an approach of exploratory data analysis. The ANOVA (Analysis of variance) test confirmed that a modification in the speaker's emotional state changes the fundamental frequency of human vocal tract. The main contribution of the paper lies in investigation, of central clipping method by the ANOVA.
dcterms:title
Fundamental frequency extraction method using central clipping and its importance for the classification of emotional state Fundamental frequency extraction method using central clipping and its importance for the classification of emotional state
skos:prefLabel
Fundamental frequency extraction method using central clipping and its importance for the classification of emotional state Fundamental frequency extraction method using central clipping and its importance for the classification of emotional state
skos:notation
RIV/61989100:27240/12:86084508!RIV13-MSM-27240___
n5:predkladatel
n18:orjk%3A27240
n3:aktivita
n9:P
n3:aktivity
P(7E09021)
n3:cisloPeriodika
4
n3:dodaniDat
n8:2013
n3:domaciTvurceVysledku
Partila, Pavol n17:7055943 n17:6945724 n17:8051283
n3:druhVysledku
n4:J
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
137395
n3:idVysledku
RIV/61989100:27240/12:86084508
n3:jazykVysledku
n13:eng
n3:klicovaSlova
Pre-emphasis; Homoscedasticity; Hamming smoothing window; Features extraction; Emotional state; DC offset; Central clipping
n3:klicoveSlovo
n6:Central%20clipping n6:Homoscedasticity n6:Emotional%20state n6:Features%20extraction n6:DC%20offset n6:Pre-emphasis n6:Hamming%20smoothing%20window
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[0FD2360CB8C4]
n3:nazevZdroje
Advances in Electrical and Electronic Engineering
n3:obor
n14:JA
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n12:7E09021
n3:rokUplatneniVysledku
n8:2012
n3:svazekPeriodika
10
n3:tvurceVysledku
Mikulec, Martin Partila, Pavol Vozňák, Miroslav Zdrálek, Jaroslav
s:issn
1804-3119
s:numberOfPages
6
n19:organizacniJednotka
27240