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Communication Dans Un Congrès Année : 2014

Measuring Vocal Tract Agility from Videofiberscopic Data: The Human BeatBox Example

Résumé

 Scales  have  been  developed  to  report  efficiently  muscle-­mucosal   relationship  at  the  vocal  fold  and  false  vocal  folds  level,  and  their  consequences  on  voicing   and  vocal  timbre. Our  study  is  three   fold:  i)  we  created  a  qualitative  three-­dimensional  anatomical-­dynamic  visual  scale  OCM   (Open,  Close,  Movement)  to  describe  the  vocal  tract;;  ii)  moreover,  we  developed  Matlab   software  to  quantify  the  changes  in  the  two  axes  at  the  laryngeal  and  pharyngeal  levels;;  iii)   we  illustrated  our  qualitative  and  quantitative  scales  on  a  special  vocal  technique  called  the   Human  Beatbox.  The  aim  of  this  study  was  to  quantify  laryngo-­pharyngeal  mobility  and   adjustments  for  stylistic  effects  in  this  vocal  technique. We  have  performed  a  descriptive  analysis  of  three   beatboxers  by  observing  their  vocal  tract  behaviour  with  fiberscopic  imaging.  The  corpus  was based on the production of three groups of sounds: the "bass sounds", the "instrumental sounds" and the "electronic sounds". Results:  From  an  anatomical-­dynamic  point  of  view,  beatboxers  mobilise  all  the  structures  of   their  laryngo-­pharynx  separately.  We  could  describe  four  types  of  laryngo-­pharyngeal   configuration  and  three  dynamic  elements.  For  example,  our  first  results  concerning  the   "percussion sounds" show that the width of the false vocal folds  makes  the  difference  while  the  glottis  is  completely  closed.  There  is  nearly  no   movement  at  the  ary-­epiglottic  level.   The  measurement   scale  is  a  valuable  tool  to  describe  vocal  tract  agility  and  can  be  applied  to  describe   physiological  behaviour  in  different  artistic  or  linguistic  situations  but  can  also  be  used  to   quantify  pathological  pharyngo-­laryngeal  movements  and  help  to  understand  compensation   strategies  and  guide  the  rehabilitation  process.

Domaines

Linguistique
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Dates et versions

hal-01099456 , version 1 (03-01-2015)

Identifiants

  • HAL Id : hal-01099456 , version 1

Citer

L. Crevier-Buchman, Thibaut Fux, Claire Pillot-Loiseau, Angelique Amelot, Martine Adda-Decker. Measuring Vocal Tract Agility from Videofiberscopic Data: The Human BeatBox Example. Voice Foundation Symposium, May 2014, Philadelphie, United States. pp.16-17. ⟨hal-01099456⟩
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