A Comparative Normative Study Between Multidimensional Voice Program, Praat, and TF32.
Purpose: The instrumental assessment of voice quality is influenced by several factors, including the type of recording equipment used to capture the acoustic signal and the algorithm used by the acoustic analysis software program (AASP) to analyze the corresponding waveform. In this study, various...
| Publicado en: | Perspectives of the ASHA Special Interest Groups Vol. 4; no. 3; pp. 563 - 574 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
Jun2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137189058&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137189058 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2381473X KTSD jtl: Perspectives of the ASHA Special Interest Groups issn: 2381473X maglogo: N pubinfo: dt: Jun2019 vid: 4 iid: 3 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 137189058 137189058 137189058 10.1044/2019_PERS-SIG19-2018-0006 137189058 ppf: 563 ppct: 11 formats: fmt: @attributes: type: P tig: atl: A Comparative Normative Study Between Multidimensional Voice Program, Praat, and TF32. aug: au: Richardson, Kelly Matheron, Deborah Martel-Sauvageau, Vincent Vincent, Irena affil: Department of Communication Disorders, University of Massachusetts Amherst sug: subj: Voice Quality Evaluation Speech Acoustics Evaluation Software Algorithms Human Phonation Vowels Descriptive Statistics Comparative Studies Statistical Significance Massachusetts Convenience Sample Female Adult Acoustic Stimulation Data Analysis Software Analysis of Variance Univariate Statistics Effect Size Post Hoc Analysis Pearson's Correlation Coefficient Inferential Statistics Adult: 19-44 years Female ab: Purpose: The instrumental assessment of voice quality is influenced by several factors, including the type of recording equipment used to capture the acoustic signal and the algorithm used by the acoustic analysis software program (AASP) to analyze the corresponding waveform. In this study, various acoustic measures were compared across 3 AASPs commonly used in research, education, and clinical practice: Multidimensional Voice Program (MDVP) by Computerized Speech Lab, Praat, and TF32. Method: Sustained vowel phonations for the corner vowels /α/, /æ/, /i/, and /u/ were captured and analyzed for 50 healthy subjects. Correlations and inferential and descriptive statistics are reported for measures of mean fundamental frequency (mean F0), standard deviation of F0 (SD F0), harmonic-to-noise ratio, jitter (i.e., short-term frequency perturbation), and shimmer (i.e., short-term amplitude perturbation). Results: Results indicate statistically significant differences between the 3 AASPs for most of the acoustic variables of interest, with MDVP consistently yielding higher values than Praat and TF32 for SD F0, jitter, and shimmer. For harmonic-to-noise ratio, MDVP consistently yielded lower values than the comparison programs. No significant program differences were identified for mean F0. Conclusion: Results demonstrate that, although moderate to high correlations were found for values obtained between the various programs, the reported numerical values vary greatly. It is not advisable that voice data reports be combined or compared across AASPs. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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