Measurement of fundamental frequencies in diplophonic voices

P. Aichinger, M. Hagmüller, Imme Roesner, Wolfgang Bigenzahn, Berit Schneider-Stickler, Jean Schoentgen, F. Pernkopf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fundamental frequency (F0) extraction in disordered voice is a prerequisite for many types of clinical analyses. In this paper, we make an approach to F0 extraction based on audio waveform modeling and evaluate it with regard to reference F0s obtained from laryngeal high-speed videos. We analyze 65 euphonic and 112 dysphonic (28 diplophonic, 84 non-diplophonic) intervals of sustained phonations during rigid telescopic high-speed video laryngoscopy. Waveform modeling has a total error rate ETotal of 46.28 % on diplophonic voices, which is a significant improvement compared to a benchmark method (95.74 %). The results illustrate that F0 extraction in diplophonic voice is challenging. Multiple F0s need to be considered in the analysis of disordered voice, which may lead towards more valid clinical voice assessment in the future.

Original languageEnglish
Title of host publicationProceedings and Report - 9th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2015
EditorsClaudia Manfredi
PublisherFirenze University Press
Pages21-24
Number of pages4
ISBN (Electronic)9788866557920
Publication statusPublished - 1 Jan 2015
Event9th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2015 - Firenze, Italy
Duration: 2 Sep 20154 Sep 2015

Publication series

NameProceedings and Report - 9th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2015

Conference

Conference9th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2015
CountryItaly
CityFirenze
Period2/09/154/09/15

Keywords

  • Diplophonia
  • Fundamental frequency measurement
  • Laryngeal high-speed videos
  • Voice disorders

ASJC Scopus subject areas

  • Computer Science Applications
  • Biomedical Engineering

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