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Normalized time-domain parameters for electroglottographic waveforms
KTH, School of Electrical Engineering and Computer Science (EECS), Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-3362-7518
2019 (English)In: Journal of the Acoustical Society of America, ISSN 0001-4966, E-ISSN 1520-8524, Vol. 146, no 1, p. EL65-EL70, article id 1.5117174Article in journal (Refereed) Published
Abstract [en]

The electroglottographic waveform is of interest for characterizing phonation non-invasively. Existing parameterizations tend to give disparate results because they rely on somewhat arbitrary thresholds and/or contacting events. It is shown that neither are needed for formulating a normalized contact quotient and a normalized peak derivative. A heuristic combination of the two resolves also the ambiguity of a moderate contact quotient, with regard to vocal fold contacting being firm versus weak or absent. As preliminaries, schemes for electroglottography signal preconditioning and time-domain period detection are described that improve somewhat on similar methods. The algorithms are simple and compute quickly.

Place, publisher, year, edition, pages
Acoustical Society of America (ASA), 2019. Vol. 146, no 1, p. EL65-EL70, article id 1.5117174
Keywords [en]
electroglottography; voice range profile
National Category
Signal Processing
Research subject
Speech and Music Communication
Identifiers
URN: urn:nbn:se:kth:diva-255129DOI: 10.1121/1.5117174ISI: 000478628800017PubMedID: 31370590Scopus ID: 2-s2.0-85069510312OAI: oai:DiVA.org:kth-255129DiVA, id: diva2:1338266
Funder
Swedish Research Council, 2010-4565
Note

QC 20190820

Available from: 2019-07-21 Created: 2019-07-21 Last updated: 2019-08-20Bibliographically approved

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Ternström, Sten

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf