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
Comparing Throat and Acoustic Microphones for Laryngeal Pathology Detection from Human Voice
Kaunas University of Technology, Kaunas, Lithuania.
Kaunas University of Technology, Kaunas, Lithuania.
Kaunas University of Technology, Kaunas, Lithuania.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab). Kaunas University of Technology, Kaunas, Lithuania.ORCID iD: 0000-0003-2185-8973
Show others and affiliations
2014 (English)In: Electrical and Control Technologies: Proceedings of the 9th International Conference on Electrical and Control Technologies ECT-2014 / [ed] A. Navickas (general editor), A. Sauhats, A. Virbalis, M. Ažubalis, V. Galvanauskas, K. Brazauskas & A. Jonaitis, Kaunas: Kaunas University of Technology , 2014, 50-53 p.Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this study was to compare acoustic and throat microphones in the voice pathology detection task. Recordings of sustained phonation /a/ were used in the study. Each recording was characterized by a rather large set of diverse features, 1051 features in total. Classification into two classes, namely normal and pathological, was performed using random forest committees. Models trained using data obtained from the throat microphone provided lower classification accuracy. This is probably due to a narrower frequency range of the throat microphone leading to loss of important information. © Kaunas University of Technology, 2014.

Place, publisher, year, edition, pages
Kaunas: Kaunas University of Technology , 2014. 50-53 p.
Series
Electrical and Control Technologies, ISSN 1822-5934
Keyword [en]
Throat microphone, Acoustic microphone, Voice pathology, Feature extraction, Classification committees
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-27112Scopus ID: 2-s2.0-84941614242OAI: oai:DiVA.org:hh-27112DiVA: diva2:765891
Conference
ECT 2014 – The 9th International Conference on Electrical and Control Technologies, Kaunas, Lithuania, 8-9 May, 2014
Available from: 2014-11-25 Created: 2014-11-25 Last updated: 2017-03-24Bibliographically approved

Open Access in DiVA

No full text

Other links

ScopusProceedings

Search in DiVA

By author/editor
Verikas, Antanas
By organisation
Intelligent systems (IS-lab)
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

Total: 598 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