Continuous speech, on the other hand, is characterized by temporal and spectral variations caused by voice onsets and offsets, interruptions, voiceless phonemes, phonetic context, prosodic modulations in fundamental frequency and intensity, speech tempo, and so on.2,5,6 Because the vocal behavior differs considerably between these two voice/speech tasks, perception Accepted for publication June 30, 2014. Sustained vowels induce a comparatively steady action at subglottal, glottal, and supraglottal levels. First, the AVQI is developed to measure dysphonia in both continuous speech and sustained vowel recordings. Besides measures of fundamental frequency and sound intensity to objectify pitch and loudness, respectively, numerous acoustic markers have been proposed to objectify dysphonia type and severity.1 Acoustic measurements are remarkably appealing because of their noninvasiveness, relative low cost, and ease of application.2 They are able to yield a numerical output, and therefore they consistently permit tracking of treatment outcomes and communication of this information to voice clinicians, patients, third-party payers, physicians, and other stakeholders.3,4 One specific and recently developed method to quantify the severity of overall dysphonia is the Acoustic Voice Quality Index (AVQI). INTRODUCTION Acoustic methods have a long history in clinical voice assessment. Key Words: Smoothed cepstral peak prominence–Acoustic voice quality index–SpeechTool–Praat–Feasibility– Accuracy. The findings of this study demonstrate that the outcomes of the two CPPS-methods and the two AVQImethods are highly comparable, increasing the clinical feasibility of both methods as measures of dysphonia severity. Quasi-perfect correlations and coefficients of determination approaching hundred percent were found. Pearson correlation coefficients and coefficients of determination were calculated between both CPPS-methods and between both AVQI-methods. Clinical recordings of sustained vowel phonation and continuous speech from 289 subjects with various voice disorders were analyzed with the two versions of the CPPS and the AVQI. Because the CPPS is the main factor in the multivariate Acoustic Voice Quality Index (AVQI), this study also investigated the proportional relationship between the AVQI with the original and the second version of the CPPS. The present study therefore estimated the correspondence between the original CPPS from the program SpeechTool and Praat’s version of the CPPS. A version of the ‘‘smoothed cepstral peak prominence’’ (ie, CPPS) has recently been implemented in the program Praat. Objective Dysphonia Measures in the Program Praat: Smoothed Cepstral Peak Prominence and Acoustic Voice Quality Index *,†,‡Youri Maryn and §David Weenink, *Bruges, yGhent, and zAntwerp, Belgium, and xAmsterdam, The Netherlands Summary: Purpose.
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