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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F10%3APU87863%21RIV11-GA0-26220___
rdf:type
skos:Concept n21:Vysledek
dcterms:description
This paper describes an approach for enhancing the robustness of isolated words recognizer by extending its flexibility in the domain of speaker's variable vocal effort level. An analysis of spectral properties of spoken vowels in four various speaking modes (whispering, soft, normal, and loud) confirm consistent spectral tilt changes. Severe impact of vocal effort variability on the accuracy of a speaker-dependent word recognizer is presented and an efficient remedial measure using multiple-model framework paired with accurate speech mode detector is proposed. This paper describes an approach for enhancing the robustness of isolated words recognizer by extending its flexibility in the domain of speaker's variable vocal effort level. An analysis of spectral properties of spoken vowels in four various speaking modes (whispering, soft, normal, and loud) confirm consistent spectral tilt changes. Severe impact of vocal effort variability on the accuracy of a speaker-dependent word recognizer is presented and an efficient remedial measure using multiple-model framework paired with accurate speech mode detector is proposed.
dcterms:title
Automatic Vocal Effort Detection for Reliable Speech Recognition Automatic Vocal Effort Detection for Reliable Speech Recognition
skos:prefLabel
Automatic Vocal Effort Detection for Reliable Speech Recognition Automatic Vocal Effort Detection for Reliable Speech Recognition
skos:notation
RIV/00216305:26220/10:PU87863!RIV11-GA0-26220___
n3:aktivita
n13:Z n13:R n13:S n13:P
n3:aktivity
P(GD102/08/H027), R, S, Z(MSM0021630513)
n3:dodaniDat
n6:2011
n3:domaciTvurceVysledku
n15:4395743 n15:5361087
n3:druhVysledku
n20:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
248209
n3:idVysledku
RIV/00216305:26220/10:PU87863
n3:jazykVysledku
n19:eng
n3:klicovaSlova
vocal effort detection, speech recognition, hidden Markov models
n3:klicoveSlovo
n8:vocal%20effort%20detection n8:speech%20recognition n8:hidden%20Markov%20models
n3:kontrolniKodProRIV
[FD4D39E91A8D]
n3:mistoKonaniAkce
Kittilä
n3:mistoVydani
Kittilä
n3:nazevZdroje
Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010)
n3:obor
n17:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n18:GD102%2F08%2FH027
n3:rokUplatneniVysledku
n6:2010
n3:tvurceVysledku
Zelinka, Petr Sigmund, Milan
n3:typAkce
n4:WRD
n3:zahajeniAkce
2010-08-29+02:00
n3:zamer
n12:MSM0021630513
s:numberOfPages
6
n22:hasPublisher
Neuveden
n14:isbn
978-1-4244-7876-7
n9:organizacniJednotka
26220