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      Optimizing Vowel Formant Measurements in Four Acoustic Analysis Systems for Diverse Speaker Groups

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          Abstract

          <div class="section"> <a class="named-anchor" id="d11174167e174"> <!-- named anchor --> </a> <h5 class="section-title" id="d11174167e175">Purpose</h5> <p id="d11174167e177">This study systematically assessed the effects of select linear predictive coding (LPC) analysis parameter manipulations on vowel formant measurements for diverse speaker groups using 4 trademarked Speech Acoustic Analysis Software Packages (SAASPs): CSL, Praat, TF32, and WaveSurfer. </p> </div><div class="section"> <a class="named-anchor" id="d11174167e179"> <!-- named anchor --> </a> <h5 class="section-title" id="d11174167e180">Method</h5> <p id="d11174167e182">Productions of 4 words containing the corner vowels were recorded from 4 speaker groups with typical development (male and female adults and male and female children) and 4 speaker groups with Down syndrome (male and female adults and male and female children). Formant frequencies were determined from manual measurements using a consensus analysis procedure to establish formant reference values, and from the 4 SAASPs (using both the default analysis parameters and with adjustments or manipulations to select parameters). Smaller differences between values obtained from the SAASPs and the consensus analysis implied more optimal analysis parameter settings. </p> </div><div class="section"> <a class="named-anchor" id="d11174167e184"> <!-- named anchor --> </a> <h5 class="section-title" id="d11174167e185">Results</h5> <p id="d11174167e187">Manipulations of default analysis parameters in CSL, Praat, and TF32 yielded more accurate formant measurements, though the benefit was not uniform across speaker groups and formants. In WaveSurfer, manipulations did not improve formant measurements. </p> </div><div class="section"> <a class="named-anchor" id="d11174167e189"> <!-- named anchor --> </a> <h5 class="section-title" id="d11174167e190">Conclusions</h5> <p id="d11174167e192">The effects of analysis parameter manipulations on accuracy of formant-frequency measurements varied by SAASP, speaker group, and formant. The information from this study helps to guide clinical and research applications of SAASPs. </p> </div>

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          Most cited references21

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          Multiple Comparisons among Means

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            Imprecise vowel articulation as a potential early marker of Parkinson's disease: effect of speaking task.

            The purpose of this study was to analyze vowel articulation across various speaking tasks in a group of 20 early Parkinson's disease (PD) individuals prior to pharmacotherapy. Vowels were extracted from sustained phonation, sentence repetition, reading passage, and monologue. Acoustic analysis was based upon measures of the first (F1) and second (F2) formant of the vowels /a/, /i/, and /u/, vowel space area (VSA), F2i/F2u and vowel articulation index (VAI). Parkinsonian speakers manifested abnormalities in vowel articulation across F2u, VSA, F2i/F2u, and VAI in all speaking tasks except sustained phonation, compared to 15 age-matched healthy control participants. Findings suggest that sustained phonation is an inappropriate task to investigate vowel articulation in early PD. In contrast, monologue was the most sensitive in differentiating between controls and PD patients, with classification accuracy up to 80%. Measurements of vowel articulation were able to capture even minor abnormalities in speech of PD patients with no perceptible dysarthria. In conclusion, impaired vowel articulation may be considered as a possible early marker of PD. A certain type of speaking task can exert significant influence on vowel articulation. Specifically, complex tasks such as monologue are more likely to elicit articulatory deficits in parkinsonian speech, compared to other speaking tasks.
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              Impairment of Vowel Articulation as a Possible Marker of Disease Progression in Parkinson's Disease

              Purpose The aim of the current study was to survey if vowel articulation in speakers with Parkinson's disease (PD) shows specific changes in the course of the disease. Method 67 patients with PD (42 male) and 40 healthy speakers (20 male) were tested and retested after an average time interval of 34 months. Participants had to read a given text as source for subsequent calculation of the triangular vowel space area (tVSA) and vowel articulation index (VAI). Measurement of tVSA and VAI were based upon analysis of the first and second formant of the vowels /α/, /i/and /u/ extracted from defined words within the text. Results At first visit, VAI values were reduced in male and female PD patients as compared to the control group, and showed a further decrease at the second visit. Only in female Parkinsonian speakers, VAI was correlated to overall speech impairment based upon perceptual impression. VAI and tVSA were correlated to gait impairment, but no correlations were seen between VAI and global motor impairment or overall disease duration. tVSA showed a similar reduction in the PD as compared to the control group and was also found to further decline between first and second examination in female, but not in male speakers with PD. Conclusions Measurement of VAI seems to be superior to tVSA in the description of impaired vowel articulation and its further decline in the course of the disease in PD. Since impairment of vowel articulation was found to be independent from global motor function but correlated to gait dysfunction, measurement of vowel articulation might have a potential to serve as a marker of axial disease progression.
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                Author and article information

                Journal
                American Journal of Speech-Language Pathology
                Am J Speech Lang Pathol
                American Speech Language Hearing Association
                1058-0360
                1558-9110
                August 2016
                August 2016
                : 25
                : 3
                : 335-354
                Affiliations
                [1 ]Waisman Center, University of Wisconsin–Madison
                [2 ]University of Wisconsin–Madison
                Article
                10.1044/2015_AJSLP-15-0020
                5270637
                26501214
                2a9e7ef1-efc8-45f4-a0cf-36c6b46a7b0b
                © 2016
                History

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