title: Perturbation measures of voice: a comparative study between Multi-Dimensional Voice Program and Praat.
abstract: OBJECTIVE
  Frequency and amplitude perturbations are inherent in voice acoustic signals. The assessment of voice perturbation is influenced by several factors, including the type of recording equipment used and the measurement extraction algorithm applied. In the present study, perturbation measures provided by two computer systems (a purpose-built professional voice analysis apparatus and a personal computer-based system for acoustic voice assessment) and two computer programs (Multi-Dimensional Voice Program and Praat) were compared.
  
  
  METHODS
  Correlations and inferential statistics for seven perturbation measures (absolute jitter, percent jitter, relative average perturbation, pitch perturbation quotient, shimmer in decibels, percent shimmer, and amplitude perturbation quotient) in 50 subjects with various voice disorders are presented.
  
  
  RESULTS
  Results indicate statistically significant differences between the two systems and programs, with the Multi-Dimensional Voice Program yielding consistently higher measures than Praat. Furthermore, correlation analyses show weak to moderate proportional relationships between the two systems and weak to strong proportional relationships between the two programs.
  
  
  CONCLUSIONS
  Based on the literature and the proportional relationships and differences between the two systems and programs under consideration in this study, one can state that one can hardly compare frequency perturbation outcomes across systems and programs and amplitude perturbation outcomes across systems.
authors: Department of Speech-Language Pathology and Audiology, Sint-Jan General Hospital, Bruges, Belgium. youri.maryn@azbrugge.be
authors: Youri
authors: Y
authors: Maryn
authors: Paul
authors: P
authors: Corthals
authors: Marc
authors: M
authors: De Bodt
authors: Paul
authors: P
authors: Van Cauwenberge
authors: Dimitar
authors: D
authors: Deliyski
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D003201:Computers; D005260:Female; D006801:Humans; D007828:Laryngoscopy; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D010699:Phonation; D012720:Severity of Illness Index; D012984:Software; D013061:Speech Acoustics; D014831:Voice; D014832:Voice Disorders; D055815:Young Adult