About: Classification Methods Accuracy for Speech Emotion Recognition System

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Emotional state classification of human speech and recognition accuracy of the classifiers is disclosed in this paper. Recent developments in speech recognition places more emphasis on the extraction of information about the speech source. This means obtain information about who and how it was said. This article describes research which seeks to recognize the information from speaking, emotional state in particular. Emotional state is recognized by using different classifiers and features of speech by nowadays known systems. Berlin database of emotional recordings was used to train and test the system. Mel-frequency spectral coefficients and dynamic coefficients were extracted from the audio signal of the database. For classification were used Gaussian Mixture Model, k-Nearest Neighbours and Artificial Neural Networks methods. The main effort of this research is to examine the accuracy and usability of classifying methods for detection of human stress status from his speech. Emotional state classification of human speech and recognition accuracy of the classifiers is disclosed in this paper. Recent developments in speech recognition places more emphasis on the extraction of information about the speech source. This means obtain information about who and how it was said. This article describes research which seeks to recognize the information from speaking, emotional state in particular. Emotional state is recognized by using different classifiers and features of speech by nowadays known systems. Berlin database of emotional recordings was used to train and test the system. Mel-frequency spectral coefficients and dynamic coefficients were extracted from the audio signal of the database. For classification were used Gaussian Mixture Model, k-Nearest Neighbours and Artificial Neural Networks methods. The main effort of this research is to examine the accuracy and usability of classifying methods for detection of human stress status from his speech. (en)
Title	Classification Methods Accuracy for Speech Emotion Recognition System Classification Methods Accuracy for Speech Emotion Recognition System (en)
skos:prefLabel	Classification Methods Accuracy for Speech Emotion Recognition System Classification Methods Accuracy for Speech Emotion Recognition System (en)
skos:notation	RIV/61989100:27240/14:86090869!RIV15-MSM-27240___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Šafařík, Jakub Vozňák, Miroslav Továrek, Jaromír Partila, Pavol
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	7445
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/14:86090869
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	System; Recognition; Emotion; Speech; Accuracy; Methods; Classification (en)
http://linked.open.../riv/klicoveSlovo	Emotion System Speech Methods Accuracy Classification Recognition
http://linked.open...ontrolniKodProRIV	[CCC876FFDE07]
http://linked.open...v/mistoKonaniAkce	Ostrava
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Nostradamus 2014: prediction, modeling and analysis of complex systems
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Vozňák, Miroslav Šafařík, Jakub Partila, Pavol Továrek, Jaromír
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-06-23 (xsd:date)
issn	2194-5357
number of pages	9 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-319-07401-6_44
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-319-07400-9
http://localhost/t...ganizacniJednotka	27240

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