About: Automatic Speaker Recognition by Speech Signal     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
  • Speaker recognition is the complement of speech recognition. In automatic speech recognition, the speech processing approach tries to extract linguistic information from the speech signal to the exclusion of personal information. Conversely, speaker recognition is focused on the characteristics unique to the individual, disregarding the current word spoken. An ideal speaker recognition system would use only physical features to characterize speakers, since these features cannot be easily changed. Numerical values for physical features or parameters would have to be derived from digital signal processing parameters extracted from the speech signal.
  • Speaker recognition is the complement of speech recognition. In automatic speech recognition, the speech processing approach tries to extract linguistic information from the speech signal to the exclusion of personal information. Conversely, speaker recognition is focused on the characteristics unique to the individual, disregarding the current word spoken. An ideal speaker recognition system would use only physical features to characterize speakers, since these features cannot be easily changed. Numerical values for physical features or parameters would have to be derived from digital signal processing parameters extracted from the speech signal. (en)
Title
  • Automatic Speaker Recognition by Speech Signal
  • Automatic Speaker Recognition by Speech Signal (en)
skos:prefLabel
  • Automatic Speaker Recognition by Speech Signal
  • Automatic Speaker Recognition by Speech Signal (en)
skos:notation
  • RIV/00216305:26220/08:PU76194!RIV10-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • 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
  • 357401
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/08:PU76194
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Speech Signal, Speaker Recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [97EA2C0492A6]
http://linked.open...i/riv/mistoVydani
  • Wien
http://linked.open...vEdiceCisloSvazku
  • Advanced Robotics Series
http://linked.open...i/riv/nazevZdroje
  • Zemliak A., Frontiers in Robotics, Automation and Control
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...v/pocetStranKnihy
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Sigmund, Milan
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • In-Tech Education and Publishing
https://schema.org/isbn
  • 978-953-7619-17-6
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, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software