Measures of vocal F0 from continuous speech samples: an interprogram comparison.

Three commercially available computer programs for voice analysis were used to compute measures of fundamental frequency (F0) from samples of the second sentence of the ?Rainbow Passage? in groups of normal speakers (adult males, adult females, and children). Results indicated that interprogram corr...

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Publicado en:Journal of Speech-Language Pathology & Audiology Vol. 28; no. 3; pp. 122 - 132
Autores principales: Awan SN, Scarpino SE
Formato: equations & formulas research tables/charts Journal Article
Publicado: Speech-Language & Audiology Canada 9/ 1/2004
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 9/ 1/2004
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      pub: Speech-Language & Audiology Canada
      place: Ottawa, Ontario
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        atl: Measures of vocal F0 from continuous speech samples: an interprogram comparison.
      aug:
        au:
          Awan SN
          Scarpino SE
        affil: Dept. of Audiology & Speech Pathology, Bloomsburg University, Bloomsburg, PA
      sug:
        subj:
          Speech Acoustics Evaluation
          Speech Production Measurement
          Voice Quality Evaluation
          Adult
          Algorithms
          Analysis of Variance
          Audiorecording
          Child
          Comparative Studies
          Data Collection, Computer Assisted
          Descriptive Statistics
          Female
          Male
          Pearson's Correlation Coefficient
          Pennsylvania
          Post Hoc Analysis
          Software
          Speech Sample
          Human
          Adult: 19-44 years
          Child: 6-12 years
          Female
          Male
      ab: Three commercially available computer programs for voice analysis were used to compute measures of fundamental frequency (F0) from samples of the second sentence of the ?Rainbow Passage? in groups of normal speakers (adult males, adult females, and children). Results indicated that interprogram correlations for mean F0 estimation were strong (r?s > .90) and all of the programs produced mean F0 estimates within 5% of each other. However, based on the present data analyses, differences in the acoustic estimation of the voices of adult males suggest that care must be taken when analyzing and interpreting obtained fundamental frequency data. Significant differences in estimating F0 standard deviations were also observed when analyzing adult female voices. Correlations of equivalence among the programs for measures of F0 standard deviation were weaker in nature than those observed for estimates of mean speaking F0 and were nonsignificant for the analysis of adult male voices. Results indicated that measures associated with speaking F0 variability and range may be particularly influenced by gross F0 extraction errors. Details of computer program algorithms, description of possible sources of gross F0 extraction errors, and suggestions for recognizing and revising gross errors in F0 extraction are provided.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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