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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F08%3APU75662%21RIV10-MSM-26220___
rdf:type
skos:Concept n7:Vysledek
dcterms:description
This study investigates pausing strategies, focusing the attention on empty speech pauses. A cross-modal analysis (video and audio) of spontaneous narratives produced by male and female children and adults showed that a remarkable amount of empty speech pauses was used to signal new concepts in the speech flow and to segment discourse units such as clauses and paragraphs. Based on these results, an adaptive mathematical model for pause distribution was suggested, that exploits, as pause features, the absence of signal and/or the changes of energy over different acoustic dimensions strongly related to the auditory perception. These considerations inspired the formulation and the implementation of two pause detection procedures that proved to be more effective than the Likelihood Ratio Test (LRT) and Long-Term Spectral Divergence (LTSD) algorithms recently proposed in literature and applied for Voice Activity Detection (VAD). This study investigates pausing strategies, focusing the attention on empty speech pauses. A cross-modal analysis (video and audio) of spontaneous narratives produced by male and female children and adults showed that a remarkable amount of empty speech pauses was used to signal new concepts in the speech flow and to segment discourse units such as clauses and paragraphs. Based on these results, an adaptive mathematical model for pause distribution was suggested, that exploits, as pause features, the absence of signal and/or the changes of energy over different acoustic dimensions strongly related to the auditory perception. These considerations inspired the formulation and the implementation of two pause detection procedures that proved to be more effective than the Likelihood Ratio Test (LRT) and Long-Term Spectral Divergence (LTSD) algorithms recently proposed in literature and applied for Voice Activity Detection (VAD).
dcterms:title
Cognitive Role of Speech Pauses and Algorithmic Consideration for their Processing Cognitive Role of Speech Pauses and Algorithmic Consideration for their Processing
skos:prefLabel
Cognitive Role of Speech Pauses and Algorithmic Consideration for their Processing Cognitive Role of Speech Pauses and Algorithmic Consideration for their Processing
skos:notation
RIV/00216305:26220/08:PU75662!RIV10-MSM-26220___
n4:aktivita
n13:P n13:Z
n4:aktivity
P(1ET301710509), P(GA102/06/1233), Z(MSM0021630513)
n4:cisloPeriodika
5
n4:dodaniDat
n12:2010
n4:domaciTvurceVysledku
n19:4075439 n19:4944941
n4:druhVysledku
n10:J
n4:duvernostUdaju
n16:S
n4:entitaPredkladatele
n14:predkladatel
n4:idSjednocenehoVysledku
360329
n4:idVysledku
RIV/00216305:26220/08:PU75662
n4:jazykVysledku
n5:eng
n4:klicovaSlova
Speech a empty pauses discrimination, adaptive algorithms
n4:klicoveSlovo
n11:adaptive%20algorithms n11:Speech%20a%20empty%20pauses%20discrimination
n4:kodStatuVydavatele
SG - Singapurská republika
n4:kontrolniKodProRIV
[C84985FFB88A]
n4:nazevZdroje
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
n4:obor
n15:JA
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:projekt
n8:GA102%2F06%2F1233 n8:1ET301710509
n4:rokUplatneniVysledku
n12:2008
n4:svazekPeriodika
22
n4:tvurceVysledku
Stejskal, Vojtěch Smékal, Zdeněk Esposito, Anna
n4:zamer
n17:MSM0021630513
s:issn
0218-0014
s:numberOfPages
16
n18:organizacniJednotka
26220