About: Real-Time Model for Automatic Vocal Emotion Recognition     Goto   Sponge   NotDistinct   Permalink

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

AttributesValues
rdf:type
Description
  • this paper deals with the task of vocal emotion recognition in real-time. For this aim, we introduced a simple model in the simulink environment based on the usage of mel bank coefficients as features and the GMM as a classifier. We made a comparison of performance of several preprocessing methods: MFCC, PLP, PCBF and MELB to find out which feature gives best classification results for four considered emotions: anger, happiness, sadness and neutral. We also made a comparison between two kinds of classifiers: Bayesian classifier based on Gaussian mixture models and artificial feed forward back propagation neural network.
  • this paper deals with the task of vocal emotion recognition in real-time. For this aim, we introduced a simple model in the simulink environment based on the usage of mel bank coefficients as features and the GMM as a classifier. We made a comparison of performance of several preprocessing methods: MFCC, PLP, PCBF and MELB to find out which feature gives best classification results for four considered emotions: anger, happiness, sadness and neutral. We also made a comparison between two kinds of classifiers: Bayesian classifier based on Gaussian mixture models and artificial feed forward back propagation neural network. (en)
Title
  • Real-Time Model for Automatic Vocal Emotion Recognition
  • Real-Time Model for Automatic Vocal Emotion Recognition (en)
skos:prefLabel
  • Real-Time Model for Automatic Vocal Emotion Recognition
  • Real-Time Model for Automatic Vocal Emotion Recognition (en)
skos:notation
  • RIV/00216305:26220/08:PU75434!RIV10-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/07/1303), Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 391653
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/08:PU75434
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Classification, Emotion, GMM, Real-time, Recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D7F7202DFD24]
http://linked.open...v/mistoKonaniAkce
  • Parádfürdő
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 31th International Conference on Telecommunications and Signal Processing - TSP 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Atassi, Hicham
  • Smékal, Zdeněk
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000266239500005
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-963-06-5487-6
http://localhost/t...ganizacniJednotka
  • 26220
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 112 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software