About: Nonlinear adaptive models for speech enhancement algorithms     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 is focused on comparison of the effectiveness of three different one channel speech enhancement algorithms based on spectral subtraction method and on different approaches to noise spectrum estimation. Algorithms estimate noise spectrum by adaptive models realized as an artificial neural networks and adaptive neural-fuzzy interface system. The efficiency of designated methods is evaluated by percentage hit rate of isolated words recognition by computer speech recognizer.
  • This paper is focused on comparison of the effectiveness of three different one channel speech enhancement algorithms based on spectral subtraction method and on different approaches to noise spectrum estimation. Algorithms estimate noise spectrum by adaptive models realized as an artificial neural networks and adaptive neural-fuzzy interface system. The efficiency of designated methods is evaluated by percentage hit rate of isolated words recognition by computer speech recognizer. (en)
  • Tento článek je zaměřen na objektivní porovnání tří jedno-kanálových metod zvýraznění řeči založených na metodě spektrální subtrakce s různými způsoby odhadu výkonového spektra šumu. Algoritmy odhadují výkonové spektrum šumu pomocí adaptivních modelů realizovaných neuronovou sítí a adaptivním neuro-fuzzy systémem. Účinnost navržených metod je hodnocena pomocí procentuelní úspěšnosti rozpoznání jednotlivých slov pomocí počítačového rozpoznávače řeči. (cs)
Title
  • Nonlinear adaptive models for speech enhancement algorithms
  • Nelineární adaptivní modely pro algoritmy zvýrazňování řeči (cs)
  • Nonlinear adaptive models for speech enhancement algorithms (en)
skos:prefLabel
  • Nonlinear adaptive models for speech enhancement algorithms
  • Nelineární adaptivní modely pro algoritmy zvýrazňování řeči (cs)
  • Nonlinear adaptive models for speech enhancement algorithms (en)
skos:notation
  • RIV/67985882:_____/07:00096407!RIV08-AV0-67985882
http://linked.open.../vavai/riv/strany
  • 138;145
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET301710509), P(GA102/06/1233), Z(AV0Z20670512)
http://linked.open...iv/cisloPeriodika
  • 1
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
  • 437498
http://linked.open...ai/riv/idVysledku
  • RIV/67985882:_____/07:00096407
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • noise measurement; speech enhancement; neural nets (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [6FB66859282F]
http://linked.open...i/riv/nazevZdroje
  • GESTS International Transactions on Computer Science and Engineering
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
  • Koula, Ivan
  • Zezula, R.
http://linked.open...n/vavai/riv/zamer
issn
  • 1738-6438
number of pages
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, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software