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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F11%3A43898191%21RIV12-GA0-23520___
rdf:type
n15:Vysledek skos:Concept
dcterms:description
A large number of methods for identifying glottal closure instants (GCIs) in voiced speech have been proposed in recent years. In this paper, we propose to take advantage of both glottal and speech signals in order to increase the accuracy of detection of GCIs. All aspects of this particular issue, from determining speech polarity to handling a delay between glottal and corresponding speech signal, are addressed. A robust multi-phase algorithm (MPA), which combines different methods applied on both signals in a unique way, is presented. Within the process, a special attention is paid to determination of speech waveform polarity, as it was found to be considerably influencing the performance of the detection algorithms. Another feature of the proposed method is that every detected GCI is given a confidence score, which allows to locate potentially inaccurate GCI subsequences. The performance of the proposed algorithm was tested and compared with other freely available GCI detection algorithms. The MPA algorithm was found to be more robust in terms of detection accuracy over various sets of sentences, languages and phone classes. Finally, some pitfalls of the GCI detection are discussed. A large number of methods for identifying glottal closure instants (GCIs) in voiced speech have been proposed in recent years. In this paper, we propose to take advantage of both glottal and speech signals in order to increase the accuracy of detection of GCIs. All aspects of this particular issue, from determining speech polarity to handling a delay between glottal and corresponding speech signal, are addressed. A robust multi-phase algorithm (MPA), which combines different methods applied on both signals in a unique way, is presented. Within the process, a special attention is paid to determination of speech waveform polarity, as it was found to be considerably influencing the performance of the detection algorithms. Another feature of the proposed method is that every detected GCI is given a confidence score, which allows to locate potentially inaccurate GCI subsequences. The performance of the proposed algorithm was tested and compared with other freely available GCI detection algorithms. The MPA algorithm was found to be more robust in terms of detection accuracy over various sets of sentences, languages and phone classes. Finally, some pitfalls of the GCI detection are discussed.
dcterms:title
On the detection of pitch marks using a robust multi-phase algorithm On the detection of pitch marks using a robust multi-phase algorithm
skos:prefLabel
On the detection of pitch marks using a robust multi-phase algorithm On the detection of pitch marks using a robust multi-phase algorithm
skos:notation
RIV/49777513:23520/11:43898191!RIV12-GA0-23520___
n15:predkladatel
n16:orjk%3A23520
n3:aktivita
n7:P
n3:aktivity
P(2C06020), P(GA102/09/0989)
n3:cisloPeriodika
4
n3:dodaniDat
n13:2012
n3:domaciTvurceVysledku
n6:7014600 n6:5347947 n6:9240012
n3:druhVysledku
n4:J
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
218193
n3:idVysledku
RIV/49777513:23520/11:43898191
n3:jazykVysledku
n12:eng
n3:klicovaSlova
fundamental frequency; speech signal polarity; pitch mark; glottal closure instant
n3:klicoveSlovo
n9:fundamental%20frequency n9:glottal%20closure%20instant n9:pitch%20mark n9:speech%20signal%20polarity
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[A1667DA1C59E]
n3:nazevZdroje
Speech Communication
n3:obor
n14:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n11:GA102%2F09%2F0989 n11:2C06020
n3:rokUplatneniVysledku
n13:2011
n3:svazekPeriodika
53
n3:tvurceVysledku
Matoušek, Jindřich Legát, Milan Tihelka, Daniel
n3:wos
000288929000007
s:issn
0167-6393
s:numberOfPages
15
n20:doi
10.1016/j.specom.2011.01.008
n18:organizacniJednotka
23520