Investigation of the relationship between electroglottogram waveform, fundamental frequency, and sound pressure level using clustering.
Identifieur interne : 000098 ( Main/Exploration ); précédent : 000097; suivant : 000099Investigation of the relationship between electroglottogram waveform, fundamental frequency, and sound pressure level using clustering.
Auteurs : Andreas Selamtzis [Suède] ; Sten Ternström [Suède]Source :
- Journal of voice : official journal of the Voice Foundation [ 1873-4588 ] ; 2017.
Descripteurs français
- KwdFr :
- MESH :
- méthodes : Électrodiagnostic.
- physiologie : Larynx.
- Adulte, Analyse de regroupements, Humains, Jeune adulte, Mâle, Phonation.
English descriptors
- KwdEn :
- MESH :
- methods : Electrodiagnosis.
- physiology : Larynx.
- Adult, Cluster Analysis, Humans, Male, Phonation, Young Adult.
Abstract
Although it has been shown in previous research (Orlikoff, 1991; Henrich et al, 2005; Kuang et al, 2014; Awan, 2015) that there exists a relationship between the electroglottogram (EGG) waveform and the acoustic signal, this relationship is still not fully understood. To investigate this relationship, the EGG and acoustic signals were measured for four male amateur choir singers who each produced eight consecutive tones of increasing and decreasing vocal intensity. The EGG signals were processed cycle-synchronously to obtain the discrete Fourier transform, and the data were used as an input to a clustering algorithm. The acoustic signal was analyzed in terms of sound pressure level (dB SPL) and fundamental frequency (fo) of vibration, and the results of both EGG and acoustic analysis were depicted on a two-dimensional plane with fo on the x-axis and SPL on the y-axis. All the subjects were seen to have a weak, near-sinusoidal EGG waveform in their lowest SPL range, whereas increase in SPL coincided with progressive enrichment in harmonic content of the EGG waveforms. The results of the clustering were additionally used to classify waveforms across subjects to enable inter-subject comparisons and assessment of individual strategies of exploring the fo-SPL dimensions. In these male subjects, the EGG waveform shape appeared to vary with SPL and to remain essentially constant with fo over one octave.
DOI: 10.1016/j.jvoice.2016.11.003
PubMed: 27939138
Affiliations:
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Electronic address: selamt@kth.se.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Department of Speech, Music and Hearing, Kungliga Tekniska högskolan, Lindstedtsvägen 24, S-100 44 Stockholm</wicri:regionArea><wicri:noRegion>S-100 44 Stockholm</wicri:noRegion></affiliation></author><author><name sortKey="Ternstrom, Sten" sort="Ternstrom, Sten" uniqKey="Ternstrom S" first="Sten" last="Ternström">Sten Ternström</name><affiliation wicri:level="1"><nlm:affiliation>Department of Speech, Music and Hearing, Kungliga Tekniska högskolan, Lindstedtsvägen 24, S-100 44 Stockholm, Sweden.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Department of Speech, Music and Hearing, Kungliga Tekniska högskolan, Lindstedtsvägen 24, S-100 44 Stockholm</wicri:regionArea><wicri:noRegion>S-100 44 Stockholm</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2017">2017</date><idno type="RBID">pubmed:27939138</idno><idno type="pmid">27939138</idno><idno type="doi">10.1016/j.jvoice.2016.11.003</idno><idno type="wicri:Area/Main/Corpus">000100</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000100</idno><idno type="wicri:Area/Main/Curation">000099</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000099</idno><idno type="wicri:Area/Main/Exploration">000099</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Investigation of the relationship between electroglottogram waveform, fundamental frequency, and sound pressure level using clustering.</title><author><name sortKey="Selamtzis, Andreas" sort="Selamtzis, Andreas" uniqKey="Selamtzis A" first="Andreas" last="Selamtzis">Andreas Selamtzis</name><affiliation wicri:level="1"><nlm:affiliation>Department of Speech, Music and Hearing, Kungliga Tekniska högskolan, Lindstedtsvägen 24, S-100 44 Stockholm, Sweden. 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To investigate this relationship, the EGG and acoustic signals were measured for four male amateur choir singers who each produced eight consecutive tones of increasing and decreasing vocal intensity. The EGG signals were processed cycle-synchronously to obtain the discrete Fourier transform, and the data were used as an input to a clustering algorithm. The acoustic signal was analyzed in terms of sound pressure level (dB SPL) and fundamental frequency (f<sub>o</sub>) of vibration, and the results of both EGG and acoustic analysis were depicted on a two-dimensional plane with f<sub>o</sub> on the x-axis and SPL on the y-axis. All the subjects were seen to have a weak, near-sinusoidal EGG waveform in their lowest SPL range, whereas increase in SPL coincided with progressive enrichment in harmonic content of the EGG waveforms. The results of the clustering were additionally used to classify waveforms across subjects to enable inter-subject comparisons and assessment of individual strategies of exploring the f<sub>o</sub>-SPL dimensions. In these male subjects, the EGG waveform shape appeared to vary with SPL and to remain essentially constant with f<sub>o</sub> over one octave.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27939138</PMID><DateCompleted><Year>2018</Year><Month>04</Month><Day>23</Day></DateCompleted><DateRevised><Year>2018</Year><Month>04</Month><Day>23</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-4588</ISSN><JournalIssue CitedMedium="Internet"><Volume>31</Volume><Issue>4</Issue><PubDate><Year>2017</Year><Month>Jul</Month></PubDate></JournalIssue><Title>Journal of voice : official journal of the Voice Foundation</Title></Journal><ArticleTitle>Investigation of the relationship between electroglottogram waveform, fundamental frequency, and sound pressure level using clustering.</ArticleTitle><Pagination><MedlinePgn>393-400</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0892-1997(16)30290-9</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jvoice.2016.11.003</ELocationID><Abstract><AbstractText>Although it has been shown in previous research (Orlikoff, 1991; Henrich et al, 2005; Kuang et al, 2014; Awan, 2015) that there exists a relationship between the electroglottogram (EGG) waveform and the acoustic signal, this relationship is still not fully understood. To investigate this relationship, the EGG and acoustic signals were measured for four male amateur choir singers who each produced eight consecutive tones of increasing and decreasing vocal intensity. The EGG signals were processed cycle-synchronously to obtain the discrete Fourier transform, and the data were used as an input to a clustering algorithm. The acoustic signal was analyzed in terms of sound pressure level (dB SPL) and fundamental frequency (f<sub>o</sub>) of vibration, and the results of both EGG and acoustic analysis were depicted on a two-dimensional plane with f<sub>o</sub> on the x-axis and SPL on the y-axis. All the subjects were seen to have a weak, near-sinusoidal EGG waveform in their lowest SPL range, whereas increase in SPL coincided with progressive enrichment in harmonic content of the EGG waveforms. The results of the clustering were additionally used to classify waveforms across subjects to enable inter-subject comparisons and assessment of individual strategies of exploring the f<sub>o</sub>-SPL dimensions. In these male subjects, the EGG waveform shape appeared to vary with SPL and to remain essentially constant with f<sub>o</sub> over one octave.</AbstractText><CopyrightInformation>Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Selamtzis</LastName><ForeName>Andreas</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Speech, Music and Hearing, Kungliga Tekniska högskolan, Lindstedtsvägen 24, S-100 44 Stockholm, Sweden. Electronic address: selamt@kth.se.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ternström</LastName><ForeName>Sten</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Speech, Music and Hearing, Kungliga Tekniska högskolan, Lindstedtsvägen 24, S-100 44 Stockholm, Sweden.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>12</Month><Day>08</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Voice</MedlineTA><NlmUniqueID>8712262</NlmUniqueID><ISSNLinking>0892-1997</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016000" MajorTopicYN="N">Cluster Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004568" MajorTopicYN="N">Electrodiagnosis</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007830" MajorTopicYN="N">Larynx</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010699" MajorTopicYN="Y">Phonation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Clustering</Keyword><Keyword MajorTopicYN="N">EGG waveform shape</Keyword><Keyword MajorTopicYN="N">Electroglottography</Keyword><Keyword MajorTopicYN="N">Vocal intensity</Keyword><Keyword MajorTopicYN="N">Voice range profile</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year><Month>07</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2016</Year><Month>11</Month><Day>01</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>11</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>12</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2018</Year><Month>4</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>12</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27939138</ArticleId><ArticleId IdType="pii">S0892-1997(16)30290-9</ArticleId><ArticleId IdType="doi">10.1016/j.jvoice.2016.11.003</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Suède</li></country></list><tree><country name="Suède"><noRegion><name sortKey="Selamtzis, Andreas" sort="Selamtzis, Andreas" uniqKey="Selamtzis A" first="Andreas" last="Selamtzis">Andreas Selamtzis</name></noRegion><name sortKey="Ternstrom, Sten" sort="Ternstrom, Sten" uniqKey="Ternstrom S" first="Sten" last="Ternström">Sten Ternström</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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