hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Combined Use of Standard and Throat Microphones for Measurement of Acoustic Voice Parameters and Voice Categorization
Lithuanian University of Health Sciences, Kaunas, Lithuania.
Lithuanian University of Health Sciences, Kaunas, Lithuania.
Lithuanian University of Health Sciences, Kaunas, Lithuania.
Lithuanian University of Health Sciences, Kaunas, Lithuania.
Show others and affiliations
2015 (English)In: Journal of Voice, ISSN 0892-1997, E-ISSN 1557-8658, Vol. 29, no 5, 552-559 p.Article in journal (Refereed) Published
Abstract [en]

Summary: Objective. The aim of the present study was to evaluate the reliability of the measurements of acoustic voice parameters obtained simultaneously using oral and contact (throat) microphones and to investigate utility of combined use of these microphones for voice categorization.

Materials and Methods. Voice samples of sustained vowel /a/ obtained from 157 subjects (105 healthy and 52 pathological voices) were recorded in a soundproof booth simultaneously through two microphones: oral AKG Perception 220 microphone (AKG Acoustics, Vienna, Austria) and contact (throat) Triumph PC microphone (Clearer Communications, Inc, Burnaby, Canada) placed on the lamina of thyroid cartilage. Acoustic voice signal data were measured for fundamental frequency, percent of jitter and shimmer, normalized noise energy, signal-to-noise ratio, and harmonic-to-noise ratio using Dr. Speech software (Tiger Electronics, Seattle, WA).

Results. The correlations of acoustic voice parameters in vocal performance were statistically significant and strong (r = 0.71–1.0) for the entire functional measurements obtained for the two microphones. When classifying into healthy-pathological voice classes, the oral-shimmer revealed the correct classification rate (CCR) of 75.2% and the throat-jitter revealed CCR of 70.7%. However, combination of both throat and oral microphones allowed identifying a set of three voice parameters: throat-signal-to-noise ratio, oral-shimmer, and oral-normalized noise energy, which provided the CCR of 80.3%.

Conclusions. The measurements of acoustic voice parameters using a combination of oral and throat microphones showed to be reliable in clinical settings and demonstrated high CCRs when distinguishing the healthy and pathological voice patient groups. Our study validates the suitability of the throat microphone signal for the task of automatic voice analysis for the purpose of voice screening. Copyright © 2014 The Voice Foundation.

Place, publisher, year, edition, pages
Philadelphia, PA: Elsevier, 2015. Vol. 29, no 5, 552-559 p.
Keyword [en]
Oral contact microphones, Acoustic voice parameters, Voice categorization
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:hh:diva-28203DOI: 10.1016/j.jvoice.2014.10.008ISI: 000360556700005PubMedID: 25795349Scopus ID: 2-s2.0-84941316000OAI: oai:DiVA.org:hh-28203DiVA: diva2:809936
Note

This study was supported by VP1-3.1-ŠMM-10-V-02-030 grant from the Ministry of Education and Science of Republic of Lithuania.

Available from: 2015-05-05 Created: 2015-05-05 Last updated: 2015-09-28Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMedScopus

Search in DiVA

By author/editor
Verikas, Antanas
By organisation
CAISR - Center for Applied Intelligent Systems Research
In the same journal
Journal of Voice
Medical Engineering

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 69 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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