Measurement of fundamental frequencies in diplophonic voices

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

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

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.

Originalspracheenglisch
TitelProceedings and Report - 9th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2015
Redakteure/-innenClaudia Manfredi
Herausgeber (Verlag)Firenze University Press
Seiten21-24
Seitenumfang4
ISBN (elektronisch)9788866557920
PublikationsstatusVeröffentlicht - 1 Jan. 2015
Veranstaltung9th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications: MAVEBA 2015 - Firenze, Italien
Dauer: 2 Sept. 20154 Sept. 2015

Publikationsreihe

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

Konferenz

Konferenz9th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications
Land/GebietItalien
OrtFirenze
Zeitraum2/09/154/09/15

ASJC Scopus subject areas

  • Angewandte Informatik
  • Biomedizintechnik

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