About: A phoneme classification using PCA and SSOM methods for a children disorder speech analysis.     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
rdfs:seeAlso
Description
  • Mathematical-engineering methods are used in different domains, also in a medical science. One area for application of such methods is to assist people with different forms of disabilities. The methods described in the following text are oriented towards the analysis of disordered children's speech with the diagnosis of Developmental Dysphasia (DD). Principal Component Analysis (PCA) and Supervised Self-Organizing Maps (SSOM) for the analysis and the classification of features from utterances of healthy and ill children are applied. A possibility of clusters visualization is used for a monitoring of disorder proportions and therapy success. The importance of vocalic triangle for children with DD is also shown in the paper.
  • Mathematical-engineering methods are used in different domains, also in a medical science. One area for application of such methods is to assist people with different forms of disabilities. The methods described in the following text are oriented towards the analysis of disordered children's speech with the diagnosis of Developmental Dysphasia (DD). Principal Component Analysis (PCA) and Supervised Self-Organizing Maps (SSOM) for the analysis and the classification of features from utterances of healthy and ill children are applied. A possibility of clusters visualization is used for a monitoring of disorder proportions and therapy success. The importance of vocalic triangle for children with DD is also shown in the paper. (en)
Title
  • A phoneme classification using PCA and SSOM methods for a children disorder speech analysis.
  • A phoneme classification using PCA and SSOM methods for a children disorder speech analysis. (en)
skos:prefLabel
  • A phoneme classification using PCA and SSOM methods for a children disorder speech analysis.
  • A phoneme classification using PCA and SSOM methods for a children disorder speech analysis. (en)
skos:notation
  • RIV/68407700:21230/12:00195009!RIV13-MSM-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(NT11443), S
http://linked.open...iv/cisloPeriodika
  • 2
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
  • 120505
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00195009
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Phoneme detection; children speech; PCA; SSOM; vocalic triangle. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [5F2BA0EFBF4E]
http://linked.open...i/riv/nazevZdroje
  • Lékař a technika
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...v/svazekPeriodika
  • 42
http://linked.open...iv/tvurceVysledku
  • Tučková, Jana
  • Grill, Pavel
  • Olšanský, Václav
  • Vavřina, Josef
issn
  • 0301-5491
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
is http://linked.open...avai/riv/vysledek of
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, 91 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software