![]() 44 Perturbation methods: jitter, shimmer, and noise-to-harmonic ratio Praat ’s perturbation measures are based on estimating cycle lengths using the waveform-matching algorithm, searching for the best match between successive cycles, occurring at a cross. ![]() Conclusion: 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. The first three perturbation measures were calculated using the Praat software system. Furthermore, correlation analyses show weak to moderate proportional relationships between the two systems and weak to strong proportional relationships between the two programs. Results: Results indicate statistically significant differences between the two systems and programs, with the Multi-Dimensional Voice Program yielding consistently higher measures than Praat. 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. Jitter and shimmer are measures of the cycle-to-cycle variations of fundamental frequency and amplitude, respectively, which have been largely used for the description of pathological voice quality. 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. The assessment of voice perturbation is influenced by several factors, including the type of recording equipment used and the measurement extraction algorithm applied. the effect size for the Praat-TF32 comparison (-0.40) is notably smaller than the other comparisons (-7.25 and -7.65) in the present study. ![]() Background/Aims: Frequency and amplitude perturbations are inherent in voice acoustic signals. Perturbation measures of voice: a comparative study between Multi-Dimensional Voice Program and Praat. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |